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  1. [img]https://i.postimg.cc/6pw7RcDQ/Iperius-Backup-Full-765.png[/img] [b]File size: 57 MB[/b] Iperius Backup is the perfect software to get the advantages of the many cloud storage services offered by well-known providers like Google or Microsoft. With a single application you will be able to easily save your files offsite to Google Drive, Dropbox or Microsoft SkyDrive. This backup task can be configured with a few clicks, and the result of this is the full security of automatic online backups, compressed and protected by an AES 256-bit encryption. Iperius Backup uses the most advanced Windows drive imaging technology, that allows to copy the whole operating system with a fast and incremental backup (block-level backup). Iperius Backup can create full disk images, allowing to recover a server system in minutes (bare-metal restore). You can also restore individual files, mount the VHD image file, and restore the system to a dissimilar hardware (hardware independent restore). Iperius Backup is an advanced and affordable tape backup software for Windows Server. Iperius is one of the best tape backup software: extremely easy and quick to setup, reliable, fast, and with flexible recovery features. Iperius Backup supports any tape drive, starting from the common HP DAT 72 USB or SCSI, to AIT, DLT and SDLT, and up to the powerful and high-capacity LTO 5 and LTO 6 devices, that allows to back up several terabytes. Iperius Backup is an advanced software for FTP backup on any type of server or NAS. Iperius can send backups to a remote server with a few simple configurations, with the secure FTPS protocol and also with zip compression and AES 256 bit encryption. Iperius can perform automated upload of entire websites, limit the transfer bandwidth, make parallel transfers to multiple servers and help system administrators to build a centralized backup strategy for clients. Iperius Backup can synchronize an unlimited number of files and folders from your computer to external hard drives or to network devices (like NAS servers). You can copy files and folders to an unlimited number of destinations and keep mirror copies deleting those files no more existing in the source folders. This allows to save space on your backup device and to always have a perfectly synchronized backup. [b]Whats New[/b] [code]https://www.iperiusbackup.com/news.aspx[/code] [b]HomePage:[/b] [code] http://www.iperiusbackup.com [/code] -:[color=#000000][u][b]DOWNLOAD FROM[/b][/u][/color][color=#FF0000] [u][b]LINKS[/b][/u][/color]:- [color=#ff6600][b]RapidGator[/b][/color] [code] https://rapidgator.net/file/e1736670bf1be1f8fc4c8004e5687c85/Iperius.Backup.Full.765..rar [/code] [color=#1261d0][b]NitroFlare[/b][/color] [code] https://nitro.download/view/88AF0B827057871/Iperius.Backup.Full.765..rar [/code]
  2. [center][img]https://img74.pixhost.to/images/70/293105517_full-frontal-with-samantha-bee-s07e17-1080p-hevc-x265-megusta.jpg[/img][/center] [center][b]Full Frontal with Samantha Bee S07E17 1080p HEVC x265-MeGusta[/b][/center] Comedian Samantha Bee gives her own wry commentary to the contemporary issues of the day. [center][b]Language[/b]: English 273.83 MB | 00:21:07 | 1812 Kbps | V_MPEGH/ISO/HEVC | 1920x1080 | A_AAC-2, 44 Khz, 2 channels Genre: Comedy, News, Talk-Show[/center] [center] [code]https://www.imdb.com/title/tt5323988/[/code] [/center] [center][b]Screenshot[/b] [img]https://img74.pixhost.to/images/70/293105857_full-frontal-with-samantha-bee-s07e17-1080p-hevc-x265-megusta.jpg[/img] [img]https://images2.imgbox.com/c0/cc/pZ4BDX3I_o.jpg[/img] [code] https://uploadgig.com/file/download/a7162393283e8f55/Full.Frontal.with.Samantha.Bee.S07E17.1080p.HEVC.x265-MeGusta.mkv [/code] [code] https://rapidgator.net/file/2ed688d702efa49618bf779baed4307d/Full.Frontal.with.Samantha.Bee.S07E17.1080p.HEVC.x265-MeGusta.mkv [/code] [/center]
  3. [center][img]https://img74.pixhost.to/images/70/293105517_full-frontal-with-samantha-bee-s07e17-1080p-hevc-x265-megusta.jpg[/img][/center] [center][b]Full Frontal with Samantha Bee S07E17 1080p HEVC x265-MeGusta[/b][/center] Comedian Samantha Bee gives her own wry commentary to the contemporary issues of the day. [center][b]Language[/b]: English 273.83 MB | 00:21:07 | 1812 Kbps | V_MPEGH/ISO/HEVC | 1920x1080 | A_AAC-2, 44 Khz, 2 channels Genre: Comedy, News, Talk-Show[/center] [center] [code]https://www.imdb.com/title/tt5323988/[/code] [/center] [center][b]Screenshot[/b] [img]https://img74.pixhost.to/images/70/293105857_full-frontal-with-samantha-bee-s07e17-1080p-hevc-x265-megusta.jpg[/img] [img]https://images2.imgbox.com/c0/cc/pZ4BDX3I_o.jpg[/img] [code] https://uploadgig.com/file/download/a7162393283e8f55/Full.Frontal.with.Samantha.Bee.S07E17.1080p.HEVC.x265-MeGusta.mkv [/code] [code] https://rapidgator.net/file/2ed688d702efa49618bf779baed4307d/Full.Frontal.with.Samantha.Bee.S07E17.1080p.HEVC.x265-MeGusta.mkv [/code] [/center]
  4. GOM Player Plus v2.3.59.5323 v2.3.59.5323 | Exe |32 & 64 Bits | Multilenguaje (Español) | Medicina Incl. | Comprimido: Si | 52.85 MB GOM Player Plus es un reproductor multimedia multiusos que admite la mayoría de formatos de audio y video, compatibilidad con realidad virtual de 360 ??grados y muchas otras funciones avanzadas. Este software sigue siendo uno de los reproductores multimedia más potentes y accesibles. GOM Player Plus es un completo software de reproducción de medios que ofrece muchas funciones avanzadas, pero está equipado con una interfaz simple y muy fácil de usar. Además, el buscador de códecs asegura que cualquier formato de audio y video se pueda manejar con la aplicación. GOM Player Plus es una versión mejorada de GOM Player con una experiencia de usuario avanzada y una velocidad más rápida. Fue construido específicamente para computadoras x64, el reproductor de video viene con soporte para varios formatos de archivo, que van desde formatos populares como AVI, MP4, FLV, WMW, MKV, MOV y muchos otros, con soporte de alta resolución de video y puede reproducir 360 grados de video VR. Caracteristicas claves: Mucho más rápido y estable que GOM Player Free. Reproducir video de 360 ??grados VR de alta resolución de video. Visor lateral de múltiples ángulos y transición de pantalla. Reproduce todos los formatos de audio / video más populares. Elegante y enfocado en la experiencia de visualización de videos. Ajustar la configuración de ubicación, tamaño y sincronización. Repetición A-B, captura de pantalla y captura de medios. Códec, control de velocidad de reproducción y efectos de video. Mejora de rendimiento rápida significativo. Y mucho más. Requisitos de Sistema: Windows 7/8 / 8.1 / 10 (32 bits o 64 bits, todas las ediciones) Procesador de 1 GHz o más rápido. 2 GB de memoria RAM. 200 MB de espacio libre en el disco duro. Cambios en esta versión: [Mejora de la función] Interfaz de usuario mejorada de la configuración de métodos abreviados de teclado. [VOC y correcciones de errores] Se mejoró el problema de la imagen secundaria en la opción Escala de DPI. Se solucionó el problema de enfoque en la opción Escala de DPI. (Entorno de uso de RTX Voice). Se corrigió el error que ocurría al mostrar subtítulos incrustados. Descargar desde UPLOADED - RAPIDGATOR - SEND - UP-4EVER https://justpaste.it/7u919 Para descomprimir el archivo debes usar el Winrar v6.11 https://justpaste.it/9lq47 Si los enlaces están muertos solo avísame respondiendo en el tema y lo soluciono. Siempre estoy suscrito a mis aportes.
  5. MAGIX VEGAS Pro 19 v19.0.0 Build 550 MAGIX VEGAS Pro 19 v19.0.0 Build 550 | Exe | Multilenguaje (Español) | Medicina Incl. | Comprimido: Si | Rar | 747.19 MB MAGIX VEGAS Pro (anteriormente conocido como SONY VEGAS Pro) es un editor no lineal (NLE) profesional para editar video y audio multipista. El programa está diseñado para la grabación y mezcla de audio multicanal, así como sus características principales para la postproducción de video. Con todas sus ventajas, podrás crear fácilmente videos de calidad profesional (resoluciones de hasta 4k) y formatos de audio de alta calidad. VEGAS Pro está diseñado para todas las necesidades y todos los niveles de habilidad, cuenta con edición de audio y video multipista en tiempo real en pistas ilimitadas, potente secuenciación de video, compatibilidad con efectos de plug-in VST y DirectX, muchos efectos y herramientas de composición, así como otros poderosas herramientas de edición de video. La versión completa de MAGIX VEGAS Pro viene con algunas funciones de edición nuevas y útiles, una variedad de efectos de video, complementos optimizados para el flujo de trabajo, estabilización de imagen potente, nuevo soporte para trabajar con videos de alta velocidad de cuadros (HFR) y más. Como hemos visto, este programa se desarrolló anteriormente como un editor de audio, es por esto que ofrece un procesamiento de audio muy completo en comparación con algún software similar. Además, este programa también cuenta con una versión más completa y potente que las versiones anteriores, ya que ofrece todas las herramientas necesarias para crear un proyecto complementario de principio a fin. Innovadoras herramientas de edición: Editar material SD, HD, 2K, 4K y en 2D o 3D estereoscópico, con la funcionalidad de arrastrar y soltar o modos de edición de 3 puntos y 4 puntos tradicionales. La interfaz de Vegas Pro 13 ofrece una impresionante variedad de herramientas innovadoras y detalles bien pensados, con un espacio de trabajo totalmente personalizable para ajustarse a una amplia gama de tareas de producción. Vegas Pro proyectos dentro de la línea de tiempo, personalizar y guardar comandos del teclado y utilizar secuencias de comandos de aplicaciones para automatizar tareas repetitivas. Efectos de gran alcance y motores de composición: Combine hasta 32 de alta calidad y efectos de fotogramas clave por cadena de efectos y aplicarlos a nivel de evento, la pista, los medios de comunicación, o el proyecto. Vegas Pro 13 utiliza una arquitectura plug-in avanzado basado en el estándar OpenFX para asegurar la compatibilidad con cientos de efectos de última generación diseñadas por los principales efectos de vídeo desarrolladores VFX. Pistas padre / hijo y los modos 2D y 3D proporcionan un entorno de composición poderosa, flexible y sofisticado. Forma herramientas de enmascaramiento y FX Masking, hacer paneo, recorte y tratamientos de los efectos específicos fácilmente. El plug-in de color junto con una amplia gama de otras herramientas de corrección de color le permiten asociar rápidamente las características de color de un clip a otro. Intercambio de proyectos: Importación y exportación de una amplia gama de archivos de proyecto desde y hacia Vegas Pro 13. Intercambio de proyectos puede convertir entre archivos. AAF de Avid ProTools, XML para Apple, Final Cut Pro 7, Final Cut Pro X (sólo exportación ), DaVinci Resolve 10, y. prproj para Adobe Premiere Pro y After Effects CC CC. Características clave: Herramientas de creación de discos DVD y Blu-ray. Soporte de archivos HEVC y formato nativo. Soporte de alto DPI y soporte HFR. Estabilización de imagen con Mercalli. Flujo de trabajo intuitivo con arrastrar y soltar. Herramientas inteligentes de edición de audio y video. Soporta todo el material de audio y video.. Cree animaciones y superposiciones personalizadas. Titler Pro Express de NewBlueFX. Interfaz de usuario moderna y eficiente. Plug-in OFX para imagen en imagen con controles en tiempo real sobre el vídeo. Ventana de vista previa. Plug-in OFX para recorte con controles en tiempo real en la ventana de vista previa de vídeo. Aceleración por hardware potente gracias a Intel QSV y a la unidad de procesamiento gráfico. Plug-in OFX para tablas de consulta. Potentes filtros y efectos de vídeo. Tratamiento del color avanzado. Compatibilidad ACES 1.0. Sincronización de audio para archivos multicámara. Congelación de fotogramas de vídeo instantánea. Y mucho más. Requisitos del sistema: Windows [7/ 8/ 8.1/]* 10/ 11 (64-bit only - All editions) Procesador: Procesador a 2 GHz (se recomienda una CPU de varios núcleos o procesadores para HD o 3D estereoscópico, se recomiendan 8 núcleos para 4K). Memoria RAM: 4 GB de memoria RAM (se recomiendan 8 GB, 16 GB para 4K). Tarjeta gráfica: 512 MB de memoria GPU, compatible con NVIDIA, AMD o Intel GPU (ver indicaciones más abajo). Espacio libre en disco: 1.5 GB necesarios para la instalación del programa. Para archivos en formato 4k, unidad de estado sólido (SSD) o sistemas de alta velocidad multi-disk RAID Descargar desde UPLOADED - RAPIDGATOR - SEND - UP-4EVER https://justpaste.it/7os6o Para descomprimir el archivo debes usar el Winrar v6.11 https://justpaste.it/9lq47 Si los enlaces están muertos solo avísame respondiendo en el tema y lo soluciono. Siempre estoy suscrito a mis aportes.
  6. GOM Player Plus v2.3.60.5324 GOM Player Plus v2.3.60.5324 | Exe |32 & 64 Bits | Multilenguaje (Español) | Medicina Incl. | Comprimido: Si | 52.87 MB GOM Player Plus es un reproductor multimedia multiusos que admite la mayoría de formatos de audio y video, compatibilidad con realidad virtual de 360 ??grados y muchas otras funciones avanzadas. Este software sigue siendo uno de los reproductores multimedia más potentes y accesibles. GOM Player Plus es un completo software de reproducción de medios que ofrece muchas funciones avanzadas, pero está equipado con una interfaz simple y muy fácil de usar. Además, el buscador de códecs asegura que cualquier formato de audio y video se pueda manejar con la aplicación. GOM Player Plus es una versión mejorada de GOM Player con una experiencia de usuario avanzada y una velocidad más rápida. Fue construido específicamente para computadoras x64, el reproductor de video viene con soporte para varios formatos de archivo, que van desde formatos populares como AVI, MP4, FLV, WMW, MKV, MOV y muchos otros, con soporte de alta resolución de video y puede reproducir 360 grados de video VR. Caracteristicas claves: Mucho más rápido y estable que GOM Player Free. Reproducir video de 360 ??grados VR de alta resolución de video. Visor lateral de múltiples ángulos y transición de pantalla. Reproduce todos los formatos de audio / video más populares. Elegante y enfocado en la experiencia de visualización de videos. Ajustar la configuración de ubicación, tamaño y sincronización. Repetición A-B, captura de pantalla y captura de medios. Códec, control de velocidad de reproducción y efectos de video. Mejora de rendimiento rápida significativo. Y mucho más. Requisitos de Sistema: Windows 7/8 / 8.1 / 10 (32 bits o 64 bits, todas las ediciones) Procesador de 1 GHz o más rápido. 2 GB de memoria RAM. 200 MB de espacio libre en el disco duro. Cambios en esta versión: [Mejora de la función] Ventana emergente mejorada del navegador de traducción de subtítulos. [VOC y correcciones de errores] Se corrigió un error que ocurría cuando se mostraba la vista previa de la barra de reproducción en algunos videos. Se corrigió un error que ocurría al envolver subtítulos en formato smi automáticamente. Se corrigió un error que ocurría en la posición del reproductor al restaurarlo a pantalla completa. Descargar desde UPLOADED - RAPIDGATOR - SEND - UP-4EVER https://justpaste.it/7u919 Para descomprimir el archivo debes usar el Winrar v6.11 https://justpaste.it/9lq47 Si los enlaces están muertos solo avísame respondiendo en el tema y lo soluciono. Siempre estoy suscrito a mis aportes.
  7. Published 06/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 55 lectures (9h 15m) | Size: 5.2 GB Windows Server 2022 "Full Course" What you'll learn The complete concept Windows Server 2022 from very fundamental to advanced. No expense required! We directly work on Implementation and testing The most updates Certification course and the most demanding skills in 2022 Requirements A computer (laptop or desktop) with at least 4GB RAM. Preferably more An active internet connection for the most parts! Description I really hope you'll agree, this training is way more than the average course on Udemy! Do you have passion in I.T field? Do you like to start your career in I.T field and your family proud of you? Do you like to start a class by end of that class start searching for I.T Job? If your answer is "YES" then you're in the right track. And by end of this course, you will be able to work and apply for I.T job as a System Technician, System Admin and System Engineer Have access to the following Training from an instructor of over 15 years who has trained thousands of people and also a Microsoft Certified Trainer Lecture that explains the concepts in an easy to learn method for someone that is just starting out with this material Instructor led hands on and simulations to practice that can be followed even if you have little to no experience We are going to cover almost all topics about Windows Server 2022 -------------------- Main Topics -------------------- Introduction Initial Settings of Windows Server 2022 Active Directory or Domin Services Windows Server 2022 Remote Desktop Services of Windows Server 2022 NTP/ SSH Server of Windows Server 2022 DNS and DHCP of Windows Server 2022 Storage Server of Windows Server 2022 Virtualization or Container of Windows Server 2022 Web and FTP Server of Windows Server 2022 File Server or DFS NameSpace of Windows Server 2022 Best Of Luck .. Who this course is for Anyone who would like to build and earn better in the IT markets Students that want to have an advantage knowledge of Windows Servers IT Experts who want to refresh their knowledge Homepage https://www.udemy.com/course/windows-server-2022-full-course/ Download ( Rapidgator ) https://rapidgator.net/file/50949c9a0662a8926bbe31d775b01689/ptzhn.Windows.Server.2022.Full.Course.part2.rar.html https://rapidgator.net/file/58417695c88b66609084ef439c5a7cbb/ptzhn.Windows.Server.2022.Full.Course.part4.rar.html https://rapidgator.net/file/a40de87e551f38e7587c4a32dcb2a780/ptzhn.Windows.Server.2022.Full.Course.part3.rar.html https://rapidgator.net/file/c3a660a8efc43589161e038f98d516f3/ptzhn.Windows.Server.2022.Full.Course.part6.rar.html https://rapidgator.net/file/c4e25bacc2af66b12260a42d32fa2f8c/ptzhn.Windows.Server.2022.Full.Course.part5.rar.html https://rapidgator.net/file/fee5ac3c0d3dcb31d7732e733e2c89be/ptzhn.Windows.Server.2022.Full.Course.part1.rar.html Download ( NitroFlare ) https://nitro.download/view/61417F54D0B1B2C/ptzhn.Windows.Server.2022.Full.Course.part1.rar https://nitro.download/view/73C9EAE7EB0BFC5/ptzhn.Windows.Server.2022.Full.Course.part2.rar https://nitro.download/view/7EF26FB0091AC1A/ptzhn.Windows.Server.2022.Full.Course.part5.rar https://nitro.download/view/8D33A581C436284/ptzhn.Windows.Server.2022.Full.Course.part3.rar https://nitro.download/view/968F5479FF00CB1/ptzhn.Windows.Server.2022.Full.Course.part4.rar https://nitro.download/view/D69DDBB6AB1E12A/ptzhn.Windows.Server.2022.Full.Course.part6.rar [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/5ba97B4277ccFF2c/ptzhn.Windows.Server.2022.Full.Course.part2.rar https://uploadgig.com/file/download/68432c8cf917a514/ptzhn.Windows.Server.2022.Full.Course.part4.rar https://uploadgig.com/file/download/948f802ce501d5f8/ptzhn.Windows.Server.2022.Full.Course.part6.rar https://uploadgig.com/file/download/986f7c12e7db2337/ptzhn.Windows.Server.2022.Full.Course.part5.rar https://uploadgig.com/file/download/a96b14ab2a1bb02B/ptzhn.Windows.Server.2022.Full.Course.part1.rar https://uploadgig.com/file/download/b793D28bD17ed327/ptzhn.Windows.Server.2022.Full.Course.part3.rar Links are Interchangeable - No Password - Single Extraction
  8. Hasta Que La Plata Nos Separe Hasta Que La Plata Nos Separe | Año: 2022 | WEB-DL 1080p | MP4 | AAC | Audios: Español Latino | Comprimido: Si | ~ 1.1 GB Titulo Original: Hasta que la Plata Nos Separe Año: 2022 País: Colombia Protagonistas: Carmen Villalobos, Sebastián Martínez, Gregorio Pernía, Fabián Ríos, Julián Arango, Marcela Bemnjumea, Alejandra Ávila, José Daniel Cristancho, Lorna Cepeda, Juliette Pardau, Fabián Ríos, Julián Arango, Alejandra Ávila, José Daniel Cristancho. Género: Comedia Dramática, Telenovela Una historia de Fernando Gaitán que acelerará el corazón de los colombianos con la maravillosa historia de Rafael Méndez y la exitosa empresaria Alejandra Maldonado, quienes nunca se imaginaron que sus caminos se cruzarían. La vida de Alejandra y Rafael cautivará a los colombianos desde el primer momento. La reconocida gerente de Ramenautos cree tener en sus manos el control total de su vida, mientras que Rafael lucha cada día por buscar un trabajo estable que le permita sostener a su familia. Alejandra y Rafael nunca se imaginaron que un fuerte accidente de tránsito les cambiaría por completo sus planes, y menos que se podrían enamorar de personas con grandes diferencias sociales. Format : MPEG-4 at 3 408 kb/s Video #0 : AVC at 3 239 kb/s Aspect : 1920 x 1080 (1.778) at 29.970 fps Audio #0 : AAC at 161 kb/s Infos : 2 channels, 44.1 kHz Descargar desde UPLOADED - RAPIDGATOR - SEND - UP-4EVER https://justpaste.it/80g2p Para descomprimir el archivo debes usar el Winrar v6.11 https://justpaste.it/9lq47 Si los enlaces están muertos solo avísame respondiendo en el tema y lo soluciono. Siempre estoy suscrito a mis aportes.
  9. Iperius Backup Full 7.6.4 Multilingual + Portable | 55.7/55.7 Mb Iperius is a complete and professional backup software for Windows. A stable and reliable software for computers and servers, the definitive solution to protect your data. Drive Image, Synchronization, FTP and Cloud backup Hard disk cloning and P2V conversion (instant restore) Complete restore of the system with the Iperius Recovery Environment recovery drive Incremental backup to NAS and external USB drives Automatic backup and Open file backup (VSS) Backup to Google Drive, Amazon S3, Azure Storage, OneDrive, Dropbox Lifetime license with free support and updates Disk image This powerful feature allows you to make exact copies of the entire disk (Drive Image), which can be used to restore the whole computer without having to reinstall the operating system and programs. The backup is done without interrupting any service neither the user's work (hot backup). Hard Drive Cloning - P2V Iperius drive image can be used to clone a hard disk and restore it to another disk. Cloning allows you to create an exact copy of Windows and start the cloned system on a Hyper-V virtual machine (instant restore) or restore it even on different hardware. Automatic incremental backup Iperius can perform automatic backups based on specific days and times, making a smart scanning of files that saves time and disk space. The incremental backup ensures that only new or changed files are copied after the first full backup. Iperius Recovery Environment Iperius allows you to restore a backup in different ways. You can recover individual files from an image backup, or create an Iperius Recovery Environment recovery drive for complete system restore (bare-metal), even on different hadrware. Online backup Cloud/FTP Iperius has several functions for online backup, for both upload and download. You can quickly create tasks to upload any file to Google Drive or to any FTP server, as well as perform website updates, or the automatic downloading of web sites. Synchronization and VSS Iperius can synchronize unlimited folders via FTP, deleting from the backup those files no longer existing in the local folders. It also allows you to copy any open or locked file (VSS), compress files in zip format, keep multiple copies of the backup and send e-mail notifications at the end of the backup. Key features Drive image backup (disaster recovery) Backup to Google Drive, Amazon S3, Azure Storage, OneDrive, Dropbox Remote backup FTP/SFTP Compression and AES encryption Scheduling of automatic backups Installation as service Lightweight and portable Upload and Download of websites Flexible backup retention policies Incremental backup and synchronization Open file backup (VSS) Backup to NAS, USB drives, RDX, etc. E-mail notifications Support and updates included Operating System:XP, 2003, Windows 7, Server 2008, SBS, Server 2012, Server 2016, Server 2019, Server 2022, Windows 8/8.1, Windows 10, Windows 11 Home Page-https://www.iperiusbackup.com/ Download ( Rapidgator ) https://rapidgator.net/file/54da67c2f6a5006b639a2c94c3a85b9c/5qpxw.Iperius.Backup.Full.7.6.4.Portable.rar.html https://rapidgator.net/file/de0dacad86e856037e685bcdb4b7bd0c/5qpxw.IperiusBackupFull7.rar.html Download ( NitroFlare ) https://nitro.download/view/4862731FF0CDF9A/5qpxw.Iperius.Backup.Full.7.6.4.Portable.rar https://nitro.download/view/9498592A390FCB5/5qpxw.IperiusBackupFull7.rar [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/d4D5e9cca805879F/5qpxw.Iperius.Backup.Full.7.6.4.Portable.rar https://uploadgig.com/file/download/5f8ddFa4C1ea6d48/5qpxw.IperiusBackupFull7.rar
  10. Released 06/2022 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 41 Lessons (6h 23m) | Size: 949.8 MB Learn to create a full E-Commerce App With React and Next.js The Full Stack React Course The long awaited Full Stack course is here! In this course, I will teach you how to build a full stack application in an smooth, straightforward way. Learning full stack sounds hard, but in this course, I've ensured to keep it fun, easy to understand and informative. You will have a great understanding of all concepts, whilst also having a stylish full stack application to use in your portfolio at the end. When learning code, it's easy to get overwhelmed with the masses of information out there. Many videos, blogs, and courses give way too much (irrelevant) details, meaning we are left feeling overwhelmed and defeated. This course was created specifically to help you learn in a streamlined way, having some laughs along the way and building your confidence to become a better developer. Here's a little bit about the e-commerce project we will build and deploy! Our E-commerce site will have the following features User Authentication (including Google Signin) Secure Payments (including Apple and Google Pay) Email Invoicing Users can interact with products, see their order history, and more! Front End Next.js / React URql for fetching data Styled Components for styling Framer Motion for animation React Hot Toast for pop up notifications Back End Strapi Postgres GraphQL Other Auth0 for authentication Stripe for payment, invoicing etc Cloudinary Homepage https://developedbyed.com/p/the-full-stack-react-course Download ( Rapidgator ) https://rapidgator.net/file/50432ce08dabc09a199a97612650267c/fftff.Developed.by.Ed..The.Full.Stack.React.Course.rar.html Download ( NitroFlare ) https://nitro.download/view/0AE64557597DB17/fftff.Developed.by.Ed..The.Full.Stack.React.Course.rar [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/0b9b44117457eBbC/fftff.Developed.by.Ed..The.Full.Stack.React.Course.rar Links are Interchangeable - No Password - Single Extraction
  11. Released 06/2022 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 41 Lessons (6h 23m) | Size: 949.8 MB Learn to create a full E-Commerce App With React and Next.js The Full Stack React Course The long awaited Full Stack course is here! In this course, I will teach you how to build a full stack application in an smooth, straightforward way. Learning full stack sounds hard, but in this course, I've ensured to keep it fun, easy to understand and informative. You will have a great understanding of all concepts, whilst also having a stylish full stack application to use in your portfolio at the end. When learning code, it's easy to get overwhelmed with the masses of information out there. Many videos, blogs, and courses give way too much (irrelevant) details, meaning we are left feeling overwhelmed and defeated. This course was created specifically to help you learn in a streamlined way, having some laughs along the way and building your confidence to become a better developer. Here's a little bit about the e-commerce project we will build and deploy! Our E-commerce site will have the following features User Authentication (including Google Signin) Secure Payments (including Apple and Google Pay) Email Invoicing Users can interact with products, see their order history, and more! Front End Next.js / React URql for fetching data Styled Components for styling Framer Motion for animation React Hot Toast for pop up notifications Back End Strapi Postgres GraphQL Other Auth0 for authentication Stripe for payment, invoicing etc Cloudinary Homepage https://developedbyed.com/p/the-full-stack-react-course Download ( Rapidgator ) https://rapidgator.net/file/50432ce08dabc09a199a97612650267c/fftff.Developed.by.Ed..The.Full.Stack.React.Course.rar.html Download ( NitroFlare ) https://nitro.download/view/0AE64557597DB17/fftff.Developed.by.Ed..The.Full.Stack.React.Course.rar [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/0b9b44117457eBbC/fftff.Developed.by.Ed..The.Full.Stack.React.Course.rar Links are Interchangeable - No Password - Single Extraction
  12. Published 06/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 40 lectures (5h 39m) | Size: 1.97 GB Everything you need to pass the CompTIA Network+ Exam. Certification preparation course on the most popular network What you'll learn Perform basic network configurations Understand computer networks, their functions, and their components This course is ideal as both a study tool and an on-the-job reference. Learn new networking skills and prepare for the CompTIA exam. Requirements Basic familiarity with computer networks is helpful. There are no specific prerequisites as the course covers all the topics in detail. However, it's a good idea to have an understanding of CompTIA A+ Certification topics or to be A+ Certified Description Your new skills and the CompTIA Network+ Certification will help you land a network tech job or get that raise or advancement you are seeking. Become an effective networking technician in a small-to-medium sized business environment. You will learn the knowledge and gain the confidence to pass the CompTIA Network+ Certification exam and the skills to be a great network tech. Industry standards and best practices for documentation, change management, disaster prevention and recovery, procedures and policies. Understand computer networks, their functions, and their components, Subnetting networks and Perform basic network configurations. CompTIA is an abbreviation for the Computing Technology Industry Association. It is a non-profit trade association that was established in the year 1982. It was initially called the Association of Better Computer Dealers (ABCD). The company's name was changed to reflect the companies expanding role in the computer industry and its inclination to play a better role in the economy of the United States. During the 1990s, computer science was in its expansion stage, and CompTIA wanted to make the best use of this opportunity by catering to the computer industry's needs. Some of its initiatives included networking, UNIX, imaging, multimedia arenas, and mobile computing. In the year 2010, the company added a new executive director position for a newly named creating IT futures foundation. The foundation's philanthropic division has a special focus on providing training and certifications for students of the lower-income groups, so it can help them update their resumes and thereby connect with better opportunities in the market. CompTIA Network+ is the most popular for beginners in the IT field as it allows individuals to gain a lot of expertise in the field of computer systems, making them ideal for the position of a computer technician. Some of the topics covered in this course include security, installation, preventative maintenance, and troubleshooting, among other things. As this CompTIA certification is recognized globally, it is vendor-neutral and relevant for people interested in pursuing a computer technician career. A good certification program shows employees that they can effectively work with computers. That is why obtaining an A+ certification is a step in the direction of obtaining a CompTIA certification. Who this course is for Students seeking a career as a network technician Students seeking a career in cyber security. This is a complete and comprehensive CompTIA Network+ Certification (N10-008) course. It is designed to prepare the student to be able to take and pass the certification exam needed to become CompTIA Network+ Certified. Homepage https://www.udemy.com/course/comptia-network-full-certification-course/ Download ( Rapidgator ) https://rapidgator.net/file/354a44042ded2a4d5f223094d9b40110/nqyko.CompTIA.Network.N10007.Full.Certification.Course.part1.rar.html https://rapidgator.net/file/75026e0ae8a748bedb1bdd36cb4f1915/nqyko.CompTIA.Network.N10007.Full.Certification.Course.part2.rar.html Download ( NitroFlare ) https://nitro.download/view/4FB462BBAB91F48/nqyko.CompTIA.Network.N10007.Full.Certification.Course.part1.rar https://nitro.download/view/FB177EF68A421C3/nqyko.CompTIA.Network.N10007.Full.Certification.Course.part2.rar [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/d57aeAcA7c856957/nqyko.CompTIA.Network.N10007.Full.Certification.Course.part1.rar https://uploadgig.com/file/download/Cbcc9C28788b38C4/nqyko.CompTIA.Network.N10007.Full.Certification.Course.part2.rar Links are Interchangeable - No Password - Single Extraction
  13. Published 6/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 50.63 GB | Duration: 91h 0m What You Get: Full Stats & Python| Full Machine Learning & Cloud Deployment| Deep Learning| Computer Vision & NLP What you'll learn Full Python For Data Science Course Full Statistics For Data Science Course Full Machine Learning Course Full Cloud Deployment Course Natural Language Processing(NLP) Full Deep Learning Course Computer Vision(CV) Instructor Guide to Virtual Internship Projects Learn Model Deployment on Amazon Web Service(AWS), Google Cloud(GCP), Microsoft Azure, Heroku, Flask API, Streamlit Hands-On Exercises, Projects, Assignements Requirements This is a Beginner to Advanced course and you do not need to have a prior knowledge or any prerequisites. The Instructor takes you right from the scratch till mastery. Your laptop and internet connection is required Your dedication to start and complete the course is highly recommended Description By far the most comprehensive, up-to-date, and credible Data Science course. The Full-Stack Data Scientist BootCamp® is the ONLY course on Udemy that covers A to Z of lessons that will make you a Data Scientist.Created by Dr. Bright, a Ph.D. in Data Science holder, former Microsoft Senior Data Scientist, and a Visiting Faculty at Worcester Institute, this course covers everything that you need to know to become a Full Stack Data Scientist.The instructors and advisors of the course spent over 13 months creating and vetting the course to make sure it meets the industry and academic standards.With 100 hours of quality course curriculum, this course is the same as we use for our 18 months MS in Data Science program on campus and even more exciting are the Projects in the course to make you more efficient and confident in building Data Science and Artificial Intelligence (AI) products. The motivation is to bring Quality Data Science education to every serious learner at affordable cost. Everyone who cannot to spend $30,000 plus on attaining a data science degree at a top tier institute or anyone who cannot spend considerable amount of time on campus away from their busy schedule.This course is meant for students and working professionals who wish to become Data scientists, Machine Learning Engineers, and AI professionals.Included in this course are:Full SQL Course from A-ZFull Python Course from A-ZFull Statistics for Data Science course from A-ZFull Machine Learning course from A-ZFull ML Model Cloud Deployment course A-ZFull Deep Learning course from A-ZFull Artificial Intelligence course from A-ZFull Computer Vision course from A-ZFull Natural Language Processing course from A-ZFull Microsoft Power BI course from A-ZReading Scientific Research PaperGithub for Data ScienceThe instructors and research assistants who created this course have done thorough research in developing this course and making sure to break the concepts down for your understanding taking into consideration people with different backgrounds and experience levels to enroll in this course.We understand the diversity of the audience that will enroll in this course, some with experience in the field and some completely new to the field, we understand that and we kept that in mind while creating the course. So don't worry, you are covered.The very instructors who created the course are going to be your MENTORS throughout the course so you will have someone to come to your aid whenever you get stuck or need help or any form of guidance.If you are interested in becoming a Full Stack Data Scientist, then this course is the right spot for you, and the ALL-in-ONE course to get you there. Overview Section 1: Data Science Overview Lecture 1 Part 1: Data Science Overview Lecture 2 What Is Data Science? Lecture 3 DA vs DS vs AI vs ML Lecture 4 Industries That Use and Hire Data Scientist Lecture 5 Applications of Data Science Lecture 6 Data Science Lifecycle and the Maturity Framework Lecture 7 Who is a Data Scientist? Lecture 8 Career Opportunities In Data Science Lecture 9 Typical Backgrounds of Data Scientists Lecture 10 The Ultimate Path To become a Data Scientist(Skills you need to develop) Lecture 11 Typical Salary of a Data Scientist Section 2: FULL SQL FOR DATA SCIENCE COURSE Lecture 12 Overview Section 3: SQL BEGINNER LEVEL Lecture 13 Introduction To SQL for Data Science Lecture 14 Types of Databases Lecture 15 What is a Query? Lecture 16 What is SQL? Lecture 17 SQL or SEQUEL? Lecture 18 SQL Installation Lecture 19 SQL Installation Guide For MacOS Lecture 20 SQL Installation Guide For Windows Lecture 21 Extra Help in Installing SQL Lecture 22 Overview of SQL workbench Section 4: SQL Commands Lecture 23 Introduction To SQL Commands Lecture 24 SQL CRUD Commands Section 5: Understanding and Creating SQL Databases Lecture 25 SQL Schema Lecture 26 Inserting Comments in SQL Lecture 27 Creating Databases Section 6: Understanding and Creating SQL Tables Lecture 28 Overview of SQL Table Section 7: Types Of SQL KEYS Lecture 29 Primary Key Lecture 30 Foreign Key Lecture 31 Composite Key Lecture 32 Super Key Lecture 33 Alternate Key Section 8: Data Types In SQL Lecture 34 SQL Data Types Section 9: CREATE Table and INSERT Data into Table Lecture 35 CREATE Table Lecture 36 INSERT Data Section 10: SQL Exercise & Solution Lecture 37 Exercise 1 and solution Section 11: SQL Constraints Lecture 38 Understanding SQL Constraints Lecture 39 NOT NULL & UNIQUE Constraints Lecture 40 DEFAULT Constraints Lecture 41 PRIMAY KEY Constraint Lecture 42 Alter SQL Constraint Lecture 43 Adding and Dropping SQL Constraint Lecture 44 Foreign Key Constraint Section 12: SQL INTERMEDIATE LEVEL Lecture 45 Creating Exiting Databases Lecture 46 Overview Of Existing Databases Lecture 47 The SELECT Statement in Details Lecture 48 The ORDER BY Clause Lecture 49 The WHERE Clause Lecture 50 Operation with SELECT statement Lecture 51 Aliasing in SQL Lecture 52 The DISTINCT Keyword Lecture 53 WHERE Clause with SQL Comparison operators Lecture 54 Exercise 2 and Solution Lecture 55 The AND, OR and NOT Operators Lecture 56 Exercise 3 and Solution Lecture 57 The IN Operator Lecture 58 Exercise 4 and Solution Lecture 59 The BETWEEN Operator Lecture 60 Exercise 5 and Solution Lecture 61 The LIKE Operator Lecture 62 Exercise 6 and Solution Lecture 63 The REGEXP Operator Lecture 64 Exercise 7 and Solution Lecture 65 IS NULL & IS NOT NULL Operator Lecture 66 Exercise 8 and Solution Lecture 67 The ORDER BY Clause in Details Lecture 68 The LIMIT Clause Lecture 69 Exercise 9 and Solution Section 13: SQL JOINS Lecture 70 Introduction To SQL JOINS Lecture 71 Exercise 10 and Solution Lecture 72 Joining Across Multiple Databases Lecture 73 Exercise 11 and Solution Lecture 74 Joining Table to Itself Lecture 75 Joining Across Multiple SQL Tables Lecture 76 LEFT and RIGHT JOIN Lecture 77 Exercise 12 and Solution Lecture 78 Exercise 13 and Solution Section 14: Working With Existing SQL Table Lecture 79 INSERTING Into Existing Table Lecture 80 INSERTING Multiple Data Into Existing Table Lecture 81 Creating A Copy of a Table Lecture 82 Updating Existing Table Lecture 83 Updating Multiple Records In Existing Table Section 15: SQL VIEW Lecture 84 Create SQL VIEW Lecture 85 Using SQL VIEW Lecture 86 Alter SQL VIEW Lecture 87 Drop SQL View Section 16: SQL Data Summarisation: Aggregation Functions Lecture 88 COUNT () Function Lecture 89 SUM() Function Lecture 90 AVG() Function Lecture 91 SQL Combined Functions Section 17: Advance SQL Functions Lecture 92 Count Function in Details Lecture 93 The HAVING() Function Lecture 94 LENGTH() Function Lecture 95 CONCAT() Function Lecture 96 INSERT() Function Lecture 97 LOCATE() Function Lecture 98 UCASE() & LCASE() Function Section 18: SQL ADVANCED LEVEL Lecture 99 Overview Section 19: SQL Stored Procedure Lecture 100 Create a Stored Procedure Lecture 101 Stored Procedure with Single Parameter Lecture 102 Stored Procedure with Multiple Parameter Lecture 103 Alter Stored Procedure Lecture 104 Drop Stored Procedure Section 20: Triggers Lecture 105 Introduction to Triggers Lecture 106 BEFORE Insert Triggers Lecture 107 AFTER Insert Trigger Lecture 108 DROP Triggers Section 21: Transactions Lecture 109 Creating Transactions Lecture 110 Rollback Transactions Lecture 111 Savepoint Transactions Section 22: 1 MONTH: FULL PYTHON FOR DATA SCIENCE COURSE Lecture 112 Overview Section 23: Master Python For Data Science Lecture 113 Install and Write Your First Python Code Lecture 114 Python Course Datasets Section 24: Introduction To Jupyter Notebook Lecture 115 Introduction to Jupyter Notebook And Jupyter Lab Lecture 116 Working with Code Vs Markdown Section 25: Introduction To Google Colab Lecture 117 Google Colab Section 26: Getting Hands-On With Python Lecture 118 Introduction Lecture 119 Keywords And Identifiers Lecture 120 Python Comments Lecture 121 Python Docstring Lecture 122 Python Variables Lecture 123 Rules and Naming Conventions for Python Variables Section 27: Python Output() | Input() | Import() Functions Lecture 124 Python Output() Function Lecture 125 Input() Function In Python Lecture 126 Import() Function In Python Section 28: Python Operators Lecture 127 Arithmetic Operators Lecture 128 Comparison Operators Lecture 129 Logical Operators Lecture 130 Bitwise Operators Lecture 131 Assignment Operators Lecture 132 Special Operators Lecture 133 Membership Operators Section 29: Python Flow Control Lecture 134 If Statement Lecture 135 If...Else Statement Lecture 136 ELif Statement Lecture 137 For loop Lecture 138 While loop Lecture 139 Break Statement Lecture 140 Continue Statement Section 30: Python Functions Lecture 141 User Define Functions Lecture 142 Arbitrary Arguments Lecture 143 Function With Loops Lecture 144 Lambda Function Lecture 145 Built-In Function Section 31: Python Global and Local Variables Lecture 146 Global Variable Lecture 147 Local Variable Section 32: Working With Files In Python Lecture 148 Python Files Lecture 149 The Close Method Lecture 150 The With Statement Lecture 151 Writing To A File In Python Section 33: Python Modules Lecture 152 Python Modules Lecture 153 Renaming Modules Lecture 154 The from...import Statement Section 34: Python Packages and Libraries Lecture 155 Python Packages and Libraries Lecture 156 PIP Install Python Libraries Section 35: Data Types In Python Lecture 157 Integer & Floating Point Numbers Lecture 158 Complex Numbers & Strings Lecture 159 LIST Lecture 160 Tuple & List Mutability Lecture 161 Tuple Immutability Lecture 162 Set Lecture 163 Dictionary Section 36: Extra Content Lecture 164 LIST Lecture 165 Working On List Lecture 166 Splitting Function Lecture 167 Range In Python Lecture 168 List Comprehension In Python Section 37: Python NUMPY Lecture 169 Lecture Resources Lecture 170 Introduction To Numpy Lecture 171 Creating Multi-Dimensional Numpy Arrays Lecture 172 Numpy: Arange Function Lecture 173 Numpy: Zeros, Ones and Eye functions Lecture 174 Numpy: Reshape Function Lecture 175 Numpy: Linspace Lecture 176 Numpy: Resize Function Lecture 177 Numpy:Generating Random Values With random.rand Lecture 178 Numpy:Generating Random Values With random.randn Lecture 179 Numpy:Generating Random Values With random.randint Lecture 180 Numpy: Indexing & Slicing Lecture 181 Numpy: Broadcasting Lecture 182 Numpy: How To Create A Copy Dataset Lecture 183 Numpy: DataFrame Introduction Lecture 184 Numpy: Creating Matrix Section 38: Numpy Assignment Section 39: Python PANDAS Lecture 185 Pandas Lecture resources Lecture 186 Pandas- Series 1 Lecture 187 Pandas- Series 2 Lecture 188 Pandas- Loc & iLoc Lecture 189 Pandas- DataFrame Introduction Lecture 190 Pandas- Operations On Pandas DataFrame Lecture 191 Pandas- Selection And Indexing On Pandas DataFrame Lecture 192 Pandas- Reading A Dataset Into Pandas DataFrame Lecture 193 Pandas- Adding A Column To Pandas DataFrame Lecture 194 Pandas- How To Drop Columns And Rows In Pandas DataFrame Lecture 195 Pandas- How To Reset Index In Pandas Dataframe Lecture 196 Pandas- How To Rename A Column In Pandas Dataframe Lecture 197 Pandas- Tail(), Column and Index Lecture 198 Pandas- How To Check For Missing Values or Null Values(isnull() Vs Isna()) Lecture 199 Pandas- Pandas Describe Function Lecture 200 Pandas- Conditional Selection With Pandas Lecture 201 Pandas- How To Deal With Null Values Lecture 202 Pandas- How To Sort Values In Pandas Lecture 203 Pandas- Pandas Groupby Lecture 204 Pandas- Count() & Value_Count() Lecture 205 Pandas- Concatenate Function Lecture 206 Pandas- Join & Merge(Creating Dataset) Lecture 207 Pandas-Join Lecture 208 Pandas- Merge Section 40: Data Visualisation: MatplotIib And Seaborn Lecture 209 Lecture resources Lecture 210 Matplotlib | Subplots Lecture 211 Seborn | Scatterplot | Correlation | Boxplot | Heatmap Lecture 212 Univariate | Bivariate | Multivariate Data Visualisation Section 41: Python Project Assignment Section 42: FULL STATISTICS FOR DATA SCIENCE Lecture 213 Overview Section 43: Master Statistics For Data Science Lecture 214 Lecture resources Lecture 215 Statistics For Data Science Curriculum Lecture 216 Why Statistics Is Important For Data Science Lecture 217 How Much Maths Do I Need To Know? Section 44: Statistical Methods Deep Dive Lecture 218 Statistical Methods Deep Dive Lecture 219 Types Of Statistics Lecture 220 Common Statistical Terms Section 45: Data Lecture 221 What Is Data? Lecture 222 Data Types Lecture 223 Data Attributes and Data Sources Lecture 224 Structured Vs Unstructured Data Section 46: Frequency Distribution Lecture 225 Frequency Distribution Section 47: Central Tendency Lecture 226 Central Tendency Lecture 227 Mean,Median, Mode Section 48: Measures of Dispersion Lecture 228 Measures of Dispersion Lecture 229 Variance and Standard Deviation Lecture 230 Example of Variance and Standard Deviation Lecture 231 Variance and Standard Deviation In Python Section 49: Coefficient of Variations Lecture 232 Coefficient of Variations Section 50: The Five Number Summary & The Quartiles Lecture 233 The Five Number Summary Lecture 234 The Quartiles: Q1 | Q2 | Q3 | IQR Section 51: The Normal Distribution Lecture 235 Introduction To Normal Distribution Lecture 236 Skewed Distributions Lecture 237 Central Limit Theorem Section 52: Correlation Lecture 238 Introduction to Correlation Lecture 239 Scatterplot For Correlation Lecture 240 Correlation is NOT Causation Section 53: Probability Lecture 241 Why Probability In Data Science? Lecture 242 Probability Key Concepts Lecture 243 Mutually Exclusive Events Lecture 244 Independent Events Lecture 245 Rules For Computing Probability Section 54: Baye's Theorem Lecture 246 Baye's Theorem Overview Section 55: Hypothesis Testing Lecture 247 Introduction To Hypothesis.mp4 Lecture 248 Null Vs Alternative Hypothesis Lecture 249 Setting Up Null and Alternative Hypothesis Lecture 250 One-tailed Vs Two-tailed test Lecture 251 Key Points On Hypothesis Testing Lecture 252 Type 1 vs Type 2 Errors Lecture 253 Process Of Hypothesis testing Lecture 254 P-Value Lecture 255 Alpha-Value or Alpha Level Lecture 256 Confidence Level Section 56: PROJECT: Statistics For Data Science Lecture 257 Project resources Lecture 258 Project Solution Code Section 57: GITHUB For Data Science Lecture 259 Lecture resources Lecture 260 Introduction to Github for Data Science Lecture 261 Setting up Github account for Data Science projects Lecture 262 Create Github Profile for Data Science Lecture 263 Create Github Project Description for Data Science Section 58: ARTIFICIAL INTELLIGENCE(AI) and MACHINE LEARNING(ML) Lecture 264 Overview Section 59: FULL MACHINE LEARNING COURSE Lecture 265 Introduction To Machine Learning Lecture 266 Overview of Machine Learning Curriculum Lecture 267 Practical Understanding Of Machine Learning (PART 1) Lecture 268 Practical Understanding Of Machine Learning (PART 2) Lecture 269 Applications of Machine Learning Lecture 270 Machine Learning Life Cycle Section 60: USE CASE Lecture 271 The Microsoft Data Science Project Lecture 272 Setting Up Your Environment for Machine Learning Section 61: Machine Learning Algorithms Lecture 273 How Machine Learning Algorithms Learn Lecture 274 Difference Between Algorithm and Model Lecture 275 Supervised vs Unsupervised ML Lecture 276 Dependent vs Independent Variables Section 62: Working with Machine Learning Data Lecture 277 Lecture Resources Lecture 278 Considerations When Loading Data Lecture 279 Loading Data from a CSV File Lecture 280 Loading Data from a URL Lecture 281 Loading Data from a Text File Lecture 282 Loading Data from an Excel File Lecture 283 Skipping Rows while Loading Data Lecture 284 Peek at your Data Lecture 285 Dimension of your Data Lecture 286 Checking Data Types of your Dataset Lecture 287 Descriptive Statistics of your Dataset Lecture 288 Class Distribution of your Dataset Lecture 289 Correlation of your Dataset Lecture 290 Skewness of your Dataset Lecture 291 Missing Values in your Dataset Lecture 292 Histogram of Dataset Lecture 293 Density Plot of Dataset Lecture 294 Box and Whisker Plot Lecture 295 Correlation Matrix Lecture 296 Scatter Matrix(Pairplot) Section 63: Regression Lecture 297 What is Regression? Section 64: Linear Regression Lecture 298 Introduction to Linear Regression Lecture 299 Conceptual Understanding of Linear Regression Lecture 300 Hyperplane Lecture 301 MSE vs RMSE Section 65: LAB SESSION: Linear Regression Lecture 302 Training Data vs Validation Data vs Testing Data Lecture 303 Splitting Dataset into Training and Testing Lecture 304 Linear Regression LAB 1 Lecture 305 Linear Regression LAB 2(PART 1) Lecture 306 Linear Regression LAB 2(PART 2) Section 66: Logistic Regression Algorithm Lecture 307 Regressor Algorithm Vs Classifier Algorithm Lecture 308 Introduction To Logistic Regression Algorithm Lecture 309 Limitations of Linear Regression Lecture 310 PART 2: Intuitive Understanding Of Logistic Regression Lecture 311 The Mathematics Behind Logistic Regression Algorithm Lecture 312 LAB SESSION 1: Practical Implementation of Logistic Regression Algorithm Lecture 313 LAB SESSION 2: Practical Implementation of Logistic Regression Algorithm Lecture 314 LAB SESSION 3: Building Logistic Regression Model Section 67: Naive Bayes Algorithm (NB) Lecture 315 Introduction to Naive Bayes Algorithm Lecture 316 The Mathematics Behind Naive Bayes Algorithm Lecture 317 LAB SESSION: Building Naive Bayes Model Section 68: K-Nearest Neighbor Algorithm (KNN) Lecture 318 Introduction to K-Nearest Neighbor Algorithm Lecture 319 Distance Measures In K-Nearest Neighbor Lecture 320 Exploratory Data Analysis In K-NN Lecture 321 LAB SESSION: Building A K-Nearest Neighbor Lecture 322 Choosing K In K-NN Section 69: Support Vector Machine Algorithm (SVM) Lecture 323 Introduction to Support Vector Machine (SVM) algorithm Lecture 324 Mathematics of SVM and Intuitive Understanding of SVM Algorithm Lecture 325 Non-Linearly Separable Vectors Lecture 326 SVM Data Pre-processing Lecture 327 Building an SVM Model Section 70: Machine Learning Algorithm Performance Metrics Lecture 328 Lecture Resources Lecture 329 Overview Lecture 330 Confusion Matrix: True Positive | False Positive | True Negative | False Neg. Lecture 331 Accuracy Lecture 332 Precision Lecture 333 Recall Lecture 334 The Tug of War between Precision and Recall Lecture 335 F 1 Score Lecture 336 Classification Report Lecture 337 ROC and AUC Lecture 338 LAB SESSION: AUC and ROC Section 71: Overfitting and Underfitting Lecture 339 Overfitting and Underfitting Lecture 340 LAB SESSION: Preventing Overfitting (PART 1) Lecture 341 LAB SESSION: Preventing Overfitting (PART 2) Lecture 342 Preventing Underfitting Section 72: Bias vs Variance Lecture 343 Bias vs Variance Lecture 344 The Bias Variance Tradeoff Section 73: Decision Tree Algorithm Lecture 345 Decision Tree Overview Lecture 346 CART: Introduction To Decision Tree Lecture 347 Purity Metrics: Gini Impurity | Gini Index Lecture 348 Calculating Gini Impurity (PART 1) Lecture 349 Calculating Gini Impurity (PART 2) Lecture 350 Information Gain Lecture 351 Overfitting in Decision Trees Lecture 352 Prunning Lecture 353 LAB SESSION: Prunning Section 74: Ensemble Techniques Lecture 354 Lecture Resources Lecture 355 Introduction To Ensemble Techniques Lecture 356 Understanding Ensemble Techniques Lecture 357 Difference b/n Random Forest & Decision Tree Lecture 358 Why Random Forest Algorithm Lecture 359 More on Random Forest Algorithm Lecture 360 Introduction to Bootstrap Sampling | Bagging Lecture 361 Understanding Bootstrap Sampling Lecture 362 Diving Deeper into Bootstrap Sampling Lecture 363 Bootstrap Sampling summary Lecture 364 Bagging Lecture 365 Boosting Lecture 366 Adaboost : Introduction Lecture 367 The Maths behind Adaboost algorithm Lecture 368 Gradient Boost: Introduction Lecture 369 Gradient Boosting : An Intuitive Understanding Lecture 370 The Mathematics behind Gradient Boosting Algorithm Lecture 371 XGBoost: Introduction Lecture 372 Maths of XGBoost (PART 1) Lecture 373 Maths of XGBoost (PART 2) Lecture 374 LAB SESSION 1: Ensemble Techniques Lecture 375 LAB SESSION 2: Ensemble Techniques Lecture 376 Stacking: An Introduction Lecture 377 LAB SESSION: Stacking Section 75: UNSUPPERVISED MACHINE LEARNING ALGORITHMS Lecture 378 Overview Section 76: K-Means Clustering Algorithm Lecture 379 Difference between K-NN and K-Means Lecture 380 Introduction to K-Means Clustering algorithm Lecture 381 The Llyod's Method-Shifting the Centroids Lecture 382 LAB SESSION: K-Means Algorithm Lecture 383 Choosing K in Kmeans-The Elbow Method Section 77: Hierarchical Clustering Algorithm Lecture 384 Introduction to Hierarchical Clustering Lecture 385 Dendrograms(Cophenetic correlation) Lecture 386 LAB SESSION: Building Hierarchical Clustering Model Section 78: Principal Component Analysis (PCA) Lecture 387 Overview of Principal Component Analysis (PCA) Section 79: Feature Engineering : Model Selection & Optimisation Lecture 388 Lecture Resources Lecture 389 KFold Cross Validation Lecture 390 LAB SESSION: KFold Cross Validation Lecture 391 Bootstrap Sampling Lecture 392 Leave One Out Cross Validation(LOOCV).mp4 Lecture 393 Hyper-parameter Tuning: An Introduction Lecture 394 GridSearchCV: An Introduction Lecture 395 RandomSearchCV: An Introduction Lecture 396 LAB SESSION 1: GridSearchCV Lecture 397 LAB SESSION 2: GridSearchCV.mp4 Lecture 398 LAB SESSION: RandomSearchCV Lecture 399 Reguralization Lecture 400 Lasso(L1) and Ridge (L2) Regression Section 80: Saving and Loading ML Model Lecture 401 Saving and Loading ML Model Section 81: RECOMMENDATION SYSTEMS Lecture 402 Lecture Resources Lecture 403 Recommendation System: An Overview Lecture 404 Where Recommender Systems came from Lecture 405 Applications of Recommendation Systems Lecture 406 Why Recommender Systems? Lecture 407 Types of Recommender Systems Lecture 408 Popularity based Recommender Systems Lecture 409 LAB SESSION: Popularity based Recommender Lecture 410 Content-based Filtering: An Overview Lecture 411 Cosine Similarity Lecture 412 Cosine Similarity with Python Lecture 413 Document Term Frequency Matrix Lecture 414 LAB SESSION: Building Content-based Recommender Engine Lecture 415 Collaborative Filtering: An Introduction Lecture 416 LAB SESSION: Collaborative Filtering Lecture 417 Evaluation Metrics for Recommender Systems Section 82: PROJECTS SESSION: MACHINE LEARNING Lecture 418 Overview Section 83: ML PROJECTS: Building CRUD App Lecture 419 CRUD Project Overview Lecture 420 Building CRUD App Section 84: ML PROJECT: Building Covid-19 Report Dashboard for Berlin City Lecture 421 Project files Lecture 422 Project Overview: Building Covid-19 Report Dashboard App for Berlin City Lecture 423 Building a Covid Dashboard App for Berlin City Section 85: ML PROJECTS: Building IPL Score Predictor App Lecture 424 ML Project: Building IPL Score Predictor App Section 86: ML PROJECTS: Building a Sales Forcast App Lecture 425 ML Project: Building a Sales Forcast App Section 87: SCIENTIFIC RESEARCH PAPER Lecture 426 Lecture resources Lecture 427 Reading Scientific Paper: An Overview Lecture 428 What you will learn Lecture 429 What is a Scientific Research Paper? Lecture 430 Importance of Reading Research Papers Lecture 431 Components of a Research Paper Lecture 432 How to Read Scientific Research Papers Lecture 433 Where to find Data Science research papers Lecture 434 Assignment Section 88: ARTIFICIAL INTELLIGENCE: Computer Vision Lecture 435 Lecture resources Lecture 436 Artificial Intelligence: An Introduction Lecture 437 The Big Picture of AI Section 89: DEEP LEARNING Lecture 438 Introduction To Deep Learning Lecture 439 What you will learn Lecture 440 What is Artificial Neural Network? Lecture 441 Neurons and Perceptrons Lecture 442 Machine Learning vs Deep Learning Lecture 443 Why Deep Learning Lecture 444 Applications of Deep Learning Section 90: Artificial Neural Network Lecture 445 Neural Network: An Overview Lecture 446 Architecture: Components of the Perceptron Lecture 447 Fully Connected Neural Network Lecture 448 Types of Neural Networks Lecture 449 How Neural Networks work Lecture 450 Propagation: Forward and Back Propagation Lecture 451 Understanding Neural Network Lecture 452 Hands-on of Forward and Back Propagation (PART 1) Lecture 453 Hands-on of Forward and Back Propagation (PART 2) Lecture 454 Chain Rule in Backpropagation Lecture 455 Optimizers In NN Section 91: Activation Functions Lecture 456 Activation Functions: An Introduction Lecture 457 Sigmoid Activation Function Lecture 458 Vanishing Gradient Lecture 459 TanH Activation Function Lecture 460 ReLU Activation Function Lecture 461 Leaky ReLU Activation Function Lecture 462 ELU Activation Function Lecture 463 SoftMax Activation Function Lecture 464 Activation functions summary Lecture 465 project files Section 92: Tensorflow and Keras Lecture 466 Overview Lecture 467 Introduction to Tensorflow Lecture 468 Tensors and Dataflows in Tensorflow Lecture 469 Tensorflow Versions Lecture 470 Keras Section 93: LAB SESSION: Deep Learning(ANN) Lecture 471 Lecture resources Lecture 472 LAB SESSION : Building your first Neural Network Lecture 473 LAB SESSION : Building your Second Neural Network Lecture 474 Handling Overfitting in Neural Network Lecture 475 L2 Regularisation Lecture 476 Dropout for Overfitting in Neural Network Lecture 477 Early Stopping for overfitting in NN Lecture 478 ModelCheck pointing Lecture 479 Load best weight Lecture 480 Tensorflow Playground Lecture 481 Building Your Third Neural Network with MNIST Section 94: FULL COMPUTER VISION COURSE Lecture 482 Lecture resources Section 95: COMPUTER VISION: Beginner Level Lecture 483 lecture resources Lecture 484 Working with Images Lecture 485 The concept of Pixels Lecture 486 Gray-Scale Image Lecture 487 Color Image Lecture 488 Different Image formats Lecture 489 Image Transformation: Filtering Lecture 490 Affine and Projective Transformation Lecture 491 Image Feature Extraction Lecture 492 LAB SESSION: working with images Lecture 493 LAB SESSION 2: Working with Images Section 96: CPU vs GPU vs TPU Lecture 494 Introduction to CPUs, GPUs and TPUs Lecture 495 Accessing GPUs for Deep Learning Lecture 496 CPU vs GPU speed Section 97: COMPUTER VISION: Intermediate Level Lecture 497 Lecture resources Lecture 498 Introduction to Convolutional Neural Networks(CNN) Lecture 499 Understanding Convolution (PART 1) Lecture 500 Understanding Convolution (PART 2) Lecture 501 Convolution Operation Lecture 502 Understanding : Filter/Kernel | Feature Map | Input Volume | Receptive Field Lecture 503 Filter vs Kernel Lecture 504 Stride and Step Size Lecture 505 Padding Lecture 506 Pooling Lecture 507 Understanding CNN Architecture Lecture 508 LAB SESSION: CNN Lab 1 Lecture 509 LAB SESSION: CNN Lab 2 Section 98: COMPUTER VISION: Advanced Level Lecture 510 Overview Lecture 511 Lecture resources Section 99: CNN Architectures Lecture 512 State-of-the-Art CNN architecture Lecture 513 LeNet Architecture Lecture 514 LAB SESSION: LeNet LAB Lecture 515 AlexNet Architecture Lecture 516 LAB SESSION: AlexNet LAB Lecture 517 VGG Architecture and LAB Lecture 518 GoogleNet or Inception Net Section 100: Transfer Learning Lecture 519 Understanding Transfer Learning Lecture 520 Steps to perform transfer learning Lecture 521 When to use Transfer learning and when NOT to use. Lecture 522 LAB SESSION: Transfer Learning with VGG-16 Section 101: Object Detection Lecture 523 Overview and Agenda Lecture 524 Computer Vision Task Lecture 525 Datasets Powering Object Detection Lecture 526 Image Classification vs Image Localisation Lecture 527 Challenges of Object Detection Section 102: Performance Metrics for Object Detection Lecture 528 Intersection Over Union(IoU) Lecture 529 Precision and Recall Lecture 530 Mean Average Precision(mAP) Section 103: Objection Detection Techniques Lecture 531 Lecture resources Lecture 532 Overview Lecture 533 Brute Force Approach Lecture 534 Sliding Window Lecture 535 Region Proposal Lecture 536 R-CNN Lecture 537 Fast R-CNN Lecture 538 ROI Pooling Lecture 539 Faster R-CNN Lecture 540 State-of-the-Art Algorithms Lecture 541 YOLO Lecture 542 LAB SESSION 1: YOLO LAB Overview Lecture 543 LAB SESSION 2: YOLO Lecture 544 LAB SESSION 3: YOLO Lecture 545 SSD Section 104: OPENCV FULL TUTORIAL Lecture 546 Introduction To OpenCV Lecture 547 Opencv Lecture 548 Opencv Lecture 549 Opencv Lecture 550 Opencv Lecture 551 Opencv Lecture 552 Opencv Lecture 553 Opencv Lecture 554 Opencv Lecture 555 Opencv Lecture 556 Opencv Lecture 557 Opencv Lecture 558 Opencv Lecture 559 Opencv Lecture 560 opencv Lecture 561 opencv Lecture 562 opencv Lecture 563 opencv Lecture 564 opencv Lecture 565 opencv Lecture 566 opencv Section 105: PROJECTS: COMPUTER VISION PROJECTS Lecture 567 Overview Section 106: CV PROJECT: Car Parking Space Counter Using OpenCV Lecture 568 Car Park Counter with OpenCV: Project Overview Lecture 569 PART 1: Building Car Park Counter With OpenCV Lecture 570 PART 2: Building Car Park Counter With OpenCV Section 107: CV PROJECT(Kaggle): Fruit and Vegetable Classification Lecture 571 Lecture resources Lecture 572 PROJECT: Fruit and Vegetable Classification Overview Lecture 573 Setup your First Kaggle Code Notebook Lecture 574 Building Fruit and Vegetable Classifier with Kaggle Notebooks Lecture 575 Deploy a Computer Vision Classifier App Section 108: CV PROJECT: Predicting Lung Disease with Computer Vision Lecture 576 Predicting Lung Disease Section 109: CV PROJECT: Nose Mask Detection with Computer Vision Lecture 577 Project files Lecture 578 Data Preprocessing Lecture 579 Training the CNN Lecture 580 Detecting Face Mask Section 110: CV PROJECT: Pose Detection Lecture 581 Building a Pose Detector Section 111: CV PROJECT: Building a Face Detector with Computer vision Lecture 582 Building a Face Detector with AI Section 112: CV PROJECT: Building a virtual AI Keyboard Lecture 583 CV Project : Building AI Virtual Keyboard Section 113: CV PROJECT: Yolov4 Object Detection Using Webcam Lecture 584 Yolov4 Object Detection Using Webcam Section 114: NATURAL LANGUAGE PROCESSING(NLP) Lecture 585 Lecture resources Lecture 586 Overview Lecture 587 Recapitulation Lecture 588 What is NLP? Lecture 589 Applications of NLP Lecture 590 The Must-Know NLP Terminologies Lecture 591 Word Lecture 592 Tokens and Tokenizations Lecture 593 Corpus Lecture 594 Sentence and Document Lecture 595 Vocabulary Lecture 596 Stopwords Section 115: Hands-On NLP: Text Pre-processing Lecture 597 Tokenization with NLTK , SpaCy and Gensim Lecture 598 Removing Stopwords with NLP Libraries Section 116: Text Pre-processing: Normalization Lecture 599 Text Normalization Lecture 600 Stemming and Lemmatization Lecture 601 LAB SESSION: Stemming and Lemmatization Section 117: Part Of Speech (POS) Tagging Lecture 602 Lecture resources Lecture 603 Understanding POS Tagging Lecture 604 LAB SESSION: Part of Speech Tagging Lecture 605 Chunking Section 118: ADVANCED LEVEL: Hands-On Text Pre-processing Lecture 606 Advanced Text Preprocessing Lecture 607 Frequency of Words | Bi-Gram | N-Grams Lecture 608 More on Stemming and Lemmatization Section 119: Introduction To Statistical NLP Techniques Lecture 609 Bag of Words (BoW) Lecture 610 TF-IDF Section 120: Language Modelling Lecture 611 Understanding language modelling Section 121: Word Embeddings Lecture 612 Understanding Word Embeddings Lecture 613 Feature Representations Section 122: Word2Vec Lecture 614 The Challenge with BoW and TF-IDF Lecture 615 Understanding Word2Vec Lecture 616 LAB SESSION: Word2Vec Lecture 617 CBOW and Skip-Gram Section 123: GloVe Lecture 618 Understanding GloVe Section 124: Sentence Parsing Lecture 619 Sentence Parsing Lecture 620 Chunking & Chinking & Syntax Tree Section 125: Sequential Models Lecture 621 Sequential Model: An Introduction Lecture 622 Traditional ML vs Sequential Modelling Section 126: Recurrent Neural Network (RNN) Lecture 623 What is a Recurrent Neural Network (RNN) ? Lecture 624 Types of RNNs Lecture 625 Use Cases of RNNs Lecture 626 Vanilla Neural Network (NN) vs Recurrent Neural Network (RNN) Lecture 627 Backpropagation Through Time (BTT) Lecture 628 Mathematics Behind BTT Lecture 629 Vanishing and Exploding Gradient Lecture 630 The problem of Long Term Dependencies Lecture 631 Bidirectional RNN (BRNN) Lecture 632 Gated Recurrent Unit(GRU) Section 127: LSTM Lecture 633 Lecture resources Lecture 634 LSTM: An Introduction Lecture 635 The LSTM Architecture Lecture 636 LAB SESSION 1: LSTM Lecture 637 LAB SESSION 2: Tween Sentiment Analysis using RNN Lecture 638 LAB SESSION 3: Tween Sentiment Analysis using LSTM Section 128: Sequence To Sequence Models (Seq2Seq) Lecture 639 Sequence To Sequence models: An introduction Lecture 640 Encoder & Decoder Lecture 641 LAB SESSION: Language Translation Lecture 642 LAB SESSION 2: Language Translation Section 129: NLP PROJECT: Sentiment Analyzer Lecture 643 Project files Lecture 644 Building Sentiment Analyzer 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  15. [center][img]https://img73.pixhost.to/images/72/289275193_full-frontal-with-samantha-bee-s07e15-1080p-hevc-x265-megusta.jpg[/img][/center] [center][b]Full Frontal with Samantha Bee S07E15 1080p HEVC x265-MeGusta[/b][/center] Comedian Samantha Bee gives her own wry commentary to the contemporary issues of the day. [center][b]Language[/b]: English 221.09 MB | 00:21:04 | 1466 Kbps | V_MPEGH/ISO/HEVC | 1920x1080 | A_AAC-2, 44 Khz, 2 channels Genre: Comedy, News, Talk-Show[/center] [center] [code]https://www.imdb.com/title/tt5323988/[/code] [/center] [center][b]Screenshot[/b] [img]https://img73.pixhost.to/images/72/289275279_full-frontal-with-samantha-bee-s07e15-1080p-hevc-x265-megusta.jpg[/img] [img]https://images2.imgbox.com/c0/cc/pZ4BDX3I_o.jpg[/img] [code] https://uploadgig.com/file/download/9d67b264ea7f4C8A/Full.Frontal.with.Samantha.Bee.S07E15.1080p.HEVC.x265-MeGusta.mkv [/code] [code] https://rapidgator.net/file/f39643db6301881c3479cd9b1d09d117/Full.Frontal.with.Samantha.Bee.S07E15.1080p.HEVC.x265-MeGusta.mkv [/code] [/center]
  16. Escape From Planet Earth Escape From Planet Earth | Año 2013 | BRRip 720p | XviD | AC3 5.1 | Audios: Español Latino, Inglés | Subtítulos: Español | Comprimido: Si (Con Registro de Reparación) | 4 Partes (1 GB) | 3.05 GB TÍTULO ORIGINAL: Escape from Planet Earth OTROS TÍTULOS: Operación Escape / Héroes del espacio AÑO: 2013 PAÍS: USA DURACIÓN: 89 min. DIRECTOR: Callan Brunker REPARTO: Animation GUIÓN: Bob Barlen, Callan Brunker, Cory Edwards, Tony Leech MÚSICA: Aaron Zigman FOTOGRAFÍA: Matthew A. Ward PRODUCTORA: Blu3 Y0nd3r F1lms GÉNERO: Animación. Comedia. Ciencia ficción. Infantil. Extraterrestres. 3-D La cinta, ambientada en el planeta Baab, cuenta la historia del admirado astronauta Scorch Supernova (Fraser), un héroe nacional del pueblo baabariano. Maestro en rescates audaces, Scorch realiza hazañas asombrosas con la ayuda de su hermano Gary (Corddry), jefe de control de misión en la BASA. Cuando Lena (Alba), jefe de la BASA, informa a los hermanos de un SOS en un planeta conocido por su peligrosidad Scorch rechaza las advertencias de Gary y caerá de lleno en una trampa diabólica a manos del maléfico Shanker (Gandolfini). Ahora Gary tendrá que convertirse en el héroe para rescatar a su hermano, a su planeta, a su amada esposa Kira (Parker) y a su hijo Kip. General...........: Escape.From.Planet.Earth.2013.720p.BDRip.LATiNO.ENG.XviD.AC3.avi Format............: AVI at 4 839Kbps Length............: 3,02GIB for 1h 29min. 13seg. 306ms Video #0..........: MPEG-4 Visual at 3 800Kbps Aspect............: 1280 x 544 (2.353) at 23.976 fps Audio #0..........: AC-3 at 384Kbps Infos.............: 6canales, 48,0KHz Audio #1..........: AC-3 at 640Kbps Infos.............: 6canales, 48,0KHz Descargar desde UPLOADED - RAPIDGATOR - SEND - UP-4EVER https://justpaste.it/6io9e Para descomprimir el archivo debes usar el Winrar v6.11 https://justpaste.it/9lq47 Si los enlaces están muertos solo avísame respondiendo en el tema y lo soluciono. Siempre estoy suscrito a mis aportes.
  17. Published 06/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 206 lectures (21h 16m) | Size: 8.8 GB Learn to Code From Scratch: Become a Developer with this Step-by-Step Coding Course - Includes Many Coding Sessions! What you'll learn Build coding for webapps Get a job as a junior web developer Create your own stunning, layouts for awesome websites Start their own online business Master client-end development using JavaScript, back-end development Python with PHP and MySQL Apply JavaScript, Python for data science and PHP Code and MySQL database queries on real-world tasks Create fully function web apps using Python, PHP, MySQL and JavaScript Requirements No programming experience needed. You will learn everything you need to know No software is required in advance of the course (all software used in the course is free) No pre-knowledge is required - you will learn from basic Description In this course, we will learn the basic tools that every Web developer needs to know. We will start from the scratch by learning how to implement modern web development with JavaScript, Python, PHP and MySQL code. Learn to code JavaScript, Python and PHP is The first step to Coding you need to learn to succeed in web development, it is easy to learn and understand our online JavaScript, Python, PHP and MySQL Training course is designed for you with the complete steps to require learn Complete Developer topics. Mr. Sekhar Metla[MCP - Microsoft Certified Professional] will explain to you even complex topics to simplify and teach you even beginners can easily understand with real-time examples. At this Coding for Everybody Development course is without a doubt the most comprehensive web development course available online. Even if you have zero programming experience, this course will take you from beginner to mastery. Here's why The course is taught by the lead instructor having 20+ years of professional experience. Become a Full-Stack Web Developer with just ONE course. Python, JavaScript, PHP and MySQL database The course has been updated to be trending technology ready and you'll be learning the latest tools and technologies used at large companies such as Apple, Facebook, Google and Netflix. The curriculum was developed over a period of four years, with comprehensive student testing and feedback who are working and applying these coding examples. We've taught many students how to code and many have gone on to change their lives by becoming professional developers or starting their own tech startup. The course is constantly updated with new content, with new projects and modules determined by students - that's you! We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a web developer. The course includes HD video tutorials and builds your programming knowledge while making real-world websites and web apps. Throughout this comprehensive course, we cover a massive amount of tools and technologies, including Front-End Web Development JavaScript Client-side code Validations Python PHP Variables Data types Statements Control flow statements Code Development Web Design Functions Object oriented programming[OOPs] Class Methods Inheritance Polymorphism CRUD functions Error Handling MySQL Tables SQL SQL Functions Reports By the end of this course, you will be fluently programming and be ready to make any website you can dream of. Sign up today, and look forward to HD Video Lectures Code Challenges and Coding Exercises Beautiful Real-World dynamic Projects ABOUT YOUR INSTRUCTOR Sekhar Metla is a software engineer with 20 years of professional experience. He is the author of several online-selling courses with more than 30,000+ students in many countries. He has a Master of Science in Computer Applications as Software Engineering. His students describe him as passionate, pragmatic, and motivational in his teaching. What are you waiting join now to start learning how to make your own Developer Career TODAY :) Who this course is for Beginner JavaScript, Python, PHP and MySQL developers curious about data science development Anyone who wants to generate new income streams Anyone who wants to build websites Anyone who wants to become financially independent Anyone who wants to start their own business or become freelance Anyone who wants to become a Full stack web developer Homepage https://www.udemy.com/course/coding-for-everybody-full-stack-development-course/ Download ( Rapidgator ) https://rapidgator.net/file/d8858a38caf39096f09574e1c47398f1/rlvwz.Coding.for.everybody.Full.stack.development.course.part1.rar.html https://rapidgator.net/file/533931304e54c3b023b2bd8173cbe311/rlvwz.Coding.for.everybody.Full.stack.development.course.part2.rar.html https://rapidgator.net/file/f1210acf6c787ae3aeb975da4b3688b6/rlvwz.Coding.for.everybody.Full.stack.development.course.part3.rar.html https://rapidgator.net/file/a64d1b0e63cef7d1e38776aca0d44a8c/rlvwz.Coding.for.everybody.Full.stack.development.course.part4.rar.html H4S https://hot4share.com/kr0rx233yayg/rlvwz.Coding.for.everybody.Full.stack.development.course.part1.rar.html https://hot4share.com/j8uu8nngs93s/rlvwz.Coding.for.everybody.Full.stack.development.course.part2.rar.html https://hot4share.com/ap60gvny5qjp/rlvwz.Coding.for.everybody.Full.stack.development.course.part3.rar.html https://hot4share.com/1614johes9wr/rlvwz.Coding.for.everybody.Full.stack.development.course.part4.rar.html Download ( NitroFlare ) https://nitro.download/view/BD2ED728E9CBA29/rlvwz.Coding.for.everybody.Full.stack.development.course.part1.rar https://nitro.download/view/84A189F511FBF90/rlvwz.Coding.for.everybody.Full.stack.development.course.part2.rar https://nitro.download/view/873CD5BDAA880AE/rlvwz.Coding.for.everybody.Full.stack.development.course.part3.rar https://nitro.download/view/B8FF764F7A075B4/rlvwz.Coding.for.everybody.Full.stack.development.course.part4.rar [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/eFb73db416B4b08f/rlvwz.Coding.for.everybody.Full.stack.development.course.part1.rar https://uploadgig.com/file/download/61Fd7Ebc6adfBb1f/rlvwz.Coding.for.everybody.Full.stack.development.course.part2.rar https://uploadgig.com/file/download/C295e1478fe2dD0d/rlvwz.Coding.for.everybody.Full.stack.development.course.part3.rar https://uploadgig.com/file/download/742fa6C239776695/rlvwz.Coding.for.everybody.Full.stack.development.course.part4.rar Links are Interchangeable - No Password - Single Extraction
  18. Maxon Cinema 4D Studio R26.014 Maxon Cinema 4D Studio R26.014 | Exe | x64 Bits | Multilenguaje (Español) | Medicina Incl. |Comprimido: Si | Rar | 2 Partes (990 MB) | 1.04 GB CINEMA 4D R17 es un software avanzado de gráficos 3D que viene con herramientas avanzadas de personajes, interfaz intuitiva, más rápidos y más realista. La última versión de Cinema 4D está diseñado para fácil uso, por lo que todos, incluso los principiantes aprenderá rápidamente cómo utilizar estas herramientas. Esta voluntad característica le ayuda a convertir rápidamente sus ideas en realidad, incluso con menos esfuerzo. Cinema 4D R17 le permite crear gráficos avanzados en 3D, crear y modificar las estrías, el dibujo, el alisar, y muchos más. CINEMA 4D está diseñado para artistas profesionales del 3D para crear animaciones 3D, modelado, escultura, y la representación. CINEMA 4D R17 se viene con ranuras completas kit de herramientas, más eficiente que nunca antes, el motor de física avanzada, más mejor la variabilidad y facilidad de uso, nueva función de seguimiento de movimiento, y muchos más. Para más detalles, ver las características clave! Características principales: Crear modelado 3D, modelado, renderizado y animaciones Más fácil de usar y más eficiente que nunca Fácilmente esculpir modelos de superficie dura con detección de bordes shaders expandidas para aumentar la facilidad de uso y rendimiento Nuevas características de Maxon Cinema 4D: Materiales nodales: El nuevo sistema de nodos de materiales te permite crear shaders asombrosos, tanto simples como complejos. Los materiales se pueden guardar como un activo y luego solo se pueden usar los parámetros que necesita. Ya sea que cree materiales usted mismo o tome activos listos para usar, los materiales de nodo cambiarán su forma de trabajar. Campos MoGraph: Ahora puede usar más que formas simples para controlar efectores, deformadores y pesos. Los campos cambian fundamentalmente las capacidades de MoGraph. Combina nerfs y crea efectos complejos con facilidad. Cinema 4D nunca volverá a ser el mismo. Importar datos CAD: Diga adiós a los problemas de conversión: los formatos CAD más populares se importan con un simple arrastrar y soltar. Los modelos que desea, la calidad que desea con importación confiable y flexible de archivos STEP, Solidworks, JT, Catia e IGES. Modelado de volumen: ejecutándose en OpenVDB. Los booleanos son mejores ahora, y esto es solo el comienzo. Cree modelos combinando formas, splines, partículas y ruido. Todo es gracias al poder de los vóxeles y OpenVDB. Importe y exporte VDB e incluso use volúmenes para controlar los efectos de MoGraph. Mejoras en ProRender: Conozca la próxima generación de procesamiento de GPU integrado con capacidades de producción de alta gama. La dispersión del subsuelo, el desenfoque de movimiento y el renderizado de múltiples pasadas están disponibles en su PC Nvidia súper bombeada o en su iMac de última generación. Rastreador de movimiento: Hemos mejorado el flujo de trabajo de Motion Tracker en Cinema 4D R20, lo que facilita aún más agregar elementos 3D a gráficos 2D. La caja de herramientas de Motion Tracker ha sufrido cambios significativos desde que se introdujo en la versión 16. Había una cámara y un rastreador de objetos, corrección de distorsión y reconstrucción de escenas. En la versión 20, hemos trabajado para mejorar el flujo de trabajo general para que el uso de Motion Tracker sea aún más conveniente. Múltiples Instancias: Con la ayuda de las herramientas de MoGraph en Cinema 4D, puede crear una gran cantidad de objetos y, con la ayuda de la nueva herramienta de instancias múltiples, puede administrarlos fácilmente. Al usar instancias múltiples, puede realizar cambios de manera más eficiente y la ventana del editor se ejecutará más rápido. Puede acelerar aún más las cosas si simplifica la asignación de cada clon a una estructura alámbrica, matriz o punto de pivote. Las instancias múltiples no son compatibles con la dinámica o el desplazamiento de la animación, ¡pero sí son compatibles con MoGraph Color incluso en la ventana del editor!. Requisitos de Sistema: Windows 10 Versión 1809 o superior (x64 Bits). CPU Intel de 64 bits o CPU AMD de 64 bits con soporte SSE3. 8 GB de RAM, recomendado 16 GB. Descargar desde UPLOADED - RAPIDGATOR - SEND - UP-4EVER https://justpaste.it/90ou2 Para descomprimir el archivo debes usar el Winrar v6.11 https://justpaste.it/9lq47 Si los enlaces están muertos solo avísame respondiendo en el tema y lo soluciono. Siempre estoy suscrito a mis aportes.
  19. Microsoft Office Professional Plus 2016 v16.0.5305.1000 VL Microsoft Office Professional Plus 2016 v16.0.5305.1000 VL | ISO | 64 Bits | Español - ARABIC, BRAZILIAN, CROATIAN,DANISH, DUTCH, ENGLISH, FINNISH, FRENCH, GERMAN, GREEK, HUNGARIAN, ITALIAN, LATVIAN, NORWEGIAN, POLISH, PORTUGUESE, RUSSIAN, SLOVENIAN, SWEDISH, TURKISH, UKRANIAN | Medicina Incl. | Comprimido: Si | Rar | 3.69 GB Microsoft Office 2016 es la solución completa multiplataforma, entre dispositivos para el lugar de trabajo moderno, con herramientas inteligentes para los individuos, equipos y empresas. Puede abrir las aplicaciones, documentos en cualquier lugar, a través de múltiples dispositivos. Trabaja con las aplicaciones instaladas que usted conoce y confía: Word, Excel, PowerPoint, OneNote, Outlook, Publisher, Access. Tenga siempre las últimas versiones de Word, Excel, PowerPoint, OneNote, Outlook, Publisher y Access y capturar sus ideas, sin embargo usted puede trabajar con un teclado, pluma, o la pantalla táctil. Microsoft Office 2016 ofrecerá nuevas medidas de seguridad, el cumplimiento y características de implementación, dando a las organizaciones más control sobre los datos sensibles. También se han añadido nuevas aplicaciones a la familia de la oficina con Sway y Lens Oficina. Todo diseñado para mantener el movimiento de su trabajo, en todas partes. Microsoft Office 2016 suite incluye aplicaciones como Word, Excel, PowerPoint y Outlook. Office 2007, Office 2010, Office 365, u Office 2013 los usuarios pueden abrir documentos creados sin ninguna acción adicional. Los clientes que utilizan versiones anteriores de Office pueden descargar e instalar un paquete de compatibilidad. Nuevo en Microsoft Office 2016: Sus documentos, en cualquier lugar: Office 2016, es más fácil utilizar el poder de las aplicaciones ricas en funcionalidades para crear, abrir, editar y guardar archivos en la nube desde el escritorio, para que puedas acceder a ellos desde cualquier lugar y en cualquier dispositivo. Además, los nuevos accesorios modernos en Outlook hacen que sea fácil para adjuntar archivos desde onedrive y automáticamente configurar el permiso para que los destinatarios. Todo lo que es más fácil de compartir y colaborar en su trabajo con otros. Colaboración: En tiempo real co-autoría está disponible en la Oficina Virtual de aplicaciones de hoy y estamos trayendo esa experiencia para las aplicaciones de escritorio de Windows. Cuando usted y su equipo está trabajando en Word 2016 y / o Office en línea, usted será capaz de ver donde otros editores están trabajando y lo que están escribiendo, todo en tiempo real. Aplicaciones inteligentes: Aplicaciones aprenderán a medida que trabaja, aprovechando señales sutiles y pistas para ayudarle a mantenerse la tarea y sacar más provecho de Office. Una nueva herramienta de búsqueda disponible en Word, PowerPoint y Excel, sirve los comandos que necesita con sólo escribir lo que quieres hacer. Una nueva característica de Exchange, utiliza aprendizaje automático para analizar sus patrones de correo electrónico y de tu bandeja de entrada moviendo mensajes de menor prioridad de su camino y en una nueva carpeta Clutter. Y puntos de vista, impulsado por Bing, usted encuentra información contextual de la web dentro de la experiencia de lectura. Análisis de los datos hace más rápido y más fácil: Nuevas capacidades de análisis están integradas en Excel, para que pueda tirar, mapa, analizar y visualizar los datos más rápido y más fácil que nunca. Previsión de un solo clic. Crear previsiones en su serie de datos con un solo clic a las tendencias futuras. 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Disfruta de funciones de análisis intuitivos, agrupación automática de la hora y otras características que mejoran su experiencia de análisis de tablas y gráficos dinámicos. Ahora, con la capacidad de calcular 100s de millones de filas de datos, realizar análisis más profundo con alta velocidad. Publicar en Microsoft Power BI Vista previa. Sin esfuerzo publicar y compartir sus libros de Excel para los usuarios de la energía de BI. Nuevas tablas y gráficos modernos, incluyendo TreeMap, Sunburst, Cascada, cajas y bigotes y de histograma y Pareto en Excel ayuda a presentar sus datos de una manera fresca. Paquete incluye: Microsoft Access 2016 Microsoft Excel 2016 Microsoft InfoPath 2016 Microsoft onedrive para los negocios 2016 Microsoft OneNote 2016 Microsoft Outlook 2016 Microsoft PowerPoint 2016 Microsoft Publisher 2016 Skype para los negocios 2016 Microsoft Word 2016 Microsoft Visio 2016 Microsoft Project 2016 Descargar desde UPLOADED - RAPIDGATOR - SEND - UP-4EVER https://justpaste.it/5zfma Para descomprimir el archivo debes usar el Winrar v6.11 https://justpaste.it/9lq47 Si los enlaces están muertos solo avísame respondiendo en el tema y lo soluciono. Siempre estoy suscrito a mis aportes.
  20. Published 06/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 176 lectures (50h 48m) | Size: 40 GB MERN Stack Web Development from A to Z all packed in ONE comprehensive course. Learn HTML, CSS, JavaScript, Node, React What you'll learn Be able to build ANY website you want. Build REAL web applications using cutting-edge technologies for your startup or business. Master Frontend Development with React Master backend development with NodeJs Learn modern frameworks and technologies, including JavaScript ES6, Bootstrap 5, React, MongoDB. Use CSS Frameworks including Bootstrap 5 and Tailwind CSS. Craft a portfolio of websites to apply for Junior Web Developer, UI Developer, Front End Developer, Back End Developer, and Full Stack Developer jobs. Work as a freelance Web Developer. Learn professional developer best practices. Create responsive, accessible, and beautiful templates Requirements No coding or web development knowledge needed! We'll start from scratch! A computer (Windows/Mac/Linux) with access to the internet. That's it! All tools and software used in this course will be free! Description Want to build your own website, but don't know where to start? Hi and welcome to my unique full stack web development masterclass the only course you need to learn to code and become a full-stack web developer. At 51 hours, this Web Development course is by far the most comprehensive web development course you would find on the internet. This bootcamp includes HD video tutorials and builds your solid programming foundation even if you have zero programming experience. This course which will take you from zero to hero. You'll MASTER the full MERN stack and get hands-on practice building websites and real world web applications from scratch. 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  21. [center][img]https://img73.pixhost.to/images/4/286891275_full-house-s07e07-1080p-hevc-x265-megusta.jpg[/img][/center] [center][b]Full House S07E07 1080p HEVC x265-MeGusta[/b][/center] A widowed broadcaster raises his three daughters with assistance from his rock'n'roll brother-in-law and his madcap best friend. [center][b]Language[/b]: English 263.97 MB | 00:23:46 | 8233 Kbps | V_MPEGH/ISO/HEVC | 1440x1080 | A_AC3, 48 Khz, 2 channels Genre: Comedy, Drama, Family[/center] [center] [code]https://www.imdb.com/title/tt0092359/[/code] [/center] [center][b]Screenshot[/b] [img]https://img73.pixhost.to/images/4/286891309_full-house-s07e07-1080p-hevc-x265-megusta.jpg[/img] [img]https://images2.imgbox.com/c0/cc/pZ4BDX3I_o.jpg[/img] [code] https://uploadgig.com/file/download/3E5f727074312804/Full.House.S07E07.1080p.HEVC.x265-MeGusta.mkv [/code] [code] https://rapidgator.net/file/8eff8f68f871f8588843207e7641f386/Full.House.S07E07.1080p.HEVC.x265-MeGusta.mkv [/code] [/center]
  22. Published 05/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 102 lectures (2h 1m) | Size: 2.72 GB Learn pecussion and develop your rhythm What you'll learn Play Djembe Basics bongo sounds Develop the technique and necessary condition to be able to play over your favorite songs A rich and solid rhythmic foundation Requirements Have a Djembe Description In this first level we will learn to play our first 100 rhythms on the Djembe. We will start by learning the basic sounds of the Djembe and then quickly start with the rhythms. To my way of understanding percussion, the rhythms are the fundamental element. They are like the vocabulary of a language or the bricks of a house. In this way, if we have a wide vocabulary of rhythms, little by little we will begin to identify and detect rhythms and patterns when we listen to music and as a result, know how to use them. Without a good vocabulary, we will not be able to communicate anything. The same thing happens in music. Therefore, in this series of courses we will focus on obtaining a solid enough rhythmic foundation. In a easy and intuitive way. MUSIC & PERCUSSION Percussion is an extraordinary tool to connect with oneself and others. We all know the beneficial power of music, both physically and mentally. There are numerous studies that link playing an instrument with good brain activity. In addition, the music goes directly to our emotions and each song transports us to a state of mind as if by magic. Besides, the relational power of music has also been demonstrated when it comes to generating bonds with others. All the positive qualities of music are amplified when you generate the music yourself. Percussion is an ideal way to get into the music or to solidify your tempo and rhythm if you already play an instrument. Percussion gives us that essence of origins that allows us to forget for a moment our problems and connect with our depths Who this course is for Music and percussion lovers Homepage https://www.udemy.com/course/full-djembe-course-learn-your-first-100-beats-rhythms/ https://hot4share.com/29a8tejxushp/2vv64.Full.Djembe.Course..Learn.your.first.100.beats..rhythms.part1.rar.html https://hot4share.com/m33klu4hk9eg/2vv64.Full.Djembe.Course..Learn.your.first.100.beats..rhythms.part2.rar.html https://hot4share.com/xqfpc9rquvp6/2vv64.Full.Djembe.Course..Learn.your.first.100.beats..rhythms.part3.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/9e5D2a40065d6c50/2vv64.Full.Djembe.Course..Learn.your.first.100.beats..rhythms.part1.rar https://uploadgig.com/file/download/1A7d2c6a7dcb61c7/2vv64.Full.Djembe.Course..Learn.your.first.100.beats..rhythms.part2.rar https://uploadgig.com/file/download/41a212e394fA570d/2vv64.Full.Djembe.Course..Learn.your.first.100.beats..rhythms.part3.rar Download ( Rapidgator ) https://rapidgator.net/file/0d4ac22e79b59b59f058f22ca5f49737/2vv64.Full.Djembe.Course..Learn.your.first.100.beats..rhythms.part1.rar.html https://rapidgator.net/file/f526b132ad9b7ef3be8c5480409bc63c/2vv64.Full.Djembe.Course..Learn.your.first.100.beats..rhythms.part2.rar.html https://rapidgator.net/file/7fabff3b1ee0ead65c405ba1ae4ee596/2vv64.Full.Djembe.Course..Learn.your.first.100.beats..rhythms.part3.rar.html Download ( NitroFlare ) https://nitro.download/view/84C2B20C3B8BB57/2vv64.Full.Djembe.Course..Learn.your.first.100.beats..rhythms.part1.rar https://nitro.download/view/795B25E84DB8E5B/2vv64.Full.Djembe.Course..Learn.your.first.100.beats..rhythms.part2.rar https://nitro.download/view/92BAC3E7AB0E720/2vv64.Full.Djembe.Course..Learn.your.first.100.beats..rhythms.part3.rar Links are Interchangeable - No Password - Single Extraction
  23. Lost Marble Moho Pro v13.5.5 Build 20220524 Lost Marble Moho Pro v13.5.5 Build 20220524| Exe | Multilenguaje (Español) | Medicina Incl. | Comprimido: Si | Rar | 481.39 MB Moho (anteriormente conocido como Anime Studio) es un poderoso software de animación 2D que proporciona todo lo que necesitas para hacer animación profesional. Ofrece las herramientas de animación 2D basadas en vectores más potentes para animadores, lo que permite obtener resultados profesionales de manera más fácil y rápida. Moho Pro está diseñado específicamente para crear anime y dibujos animados en 2D. Viene con una interfaz intuitiva y características sólidas optimizadas para crear animaciones reales. Lost Marble Moho Pro (anteriormente conocido como Smith Micro Moho Pro) es una herramienta perfecta para los profesionales que buscan una alternativa más eficiente a la animación tradicional (programa de animación fotograma a fotograma). La versión completa de LostMarble Moho Pro ofrece herramientas de animación avanzadas con una amplia biblioteca de contenido visual. Cuenta con un potente sistema de manipulación de esqueleto, motor de física, modelado 3D, seguimiento de movimiento, sincronización automática de labios, animación cuadro por cuadro, conversión de mapa de bits a vector y más. Además, el programa también proporciona una herramienta automatizada avanzada para convertir ilustraciones y bocetos en dibujos vectoriales completamente editables, una etiqueta para importar dibujos e imágenes escaneados y permitir realizar los cambios necesarios sobre la marcha. Características clave: Sincronización automática de labios (sincronización con el audio). Movimientos de cámara y trazos naturales. Gráficos de movimiento editables y más control. Totalmente programable (con programación Lua). Animación de capas, formas vectoriales y huesos. Agrupación de capas y cambio de activos. Potente editor de línea de tiempo con fotogramas clave. Motor de física profesional y potente. Esqueleto que funciona a la inversa y hacia adelante. La tecnología de huesos inteligentes mejora el flujo de trabajo. Algunas habilidades 3D (efectos de cámara, etc.). Admite la mayoría de los formatos de imagen, audio y video. Admite Photoshop en capas y mucho más. Novedades en Moho Pro 13 Anima varias capas simultáneamente. Mandos de control y bezier personalizables. Nueva importación y exportación a otro equipo. Más paneles de biblioteca y capas, y más. Herramientas de dibujo a mano alzada más precisas. Pin huesos para animaciones más complejas. Desenfoque de movimiento realista y resultados instantáneos. Nueva urdimbre inteligente, mallas y huesos inteligentes. Otras correcciones de errores y mejoras. Requerimientos mínimos:: Windows 7/ 8/ 8.1/ 10/ 11 (solo 64 bits). Procesador multinúcleo de 2,3 GHz. 2 GB RAM. 1,6 GB de espacio en disco. Pantalla de 1440x900. OpenGL 4.1. Descargar desde UPLOADED - RAPIDGATOR - SEND - UP-4EVER https://justpaste.it/5fija Para descomprimir el archivo debes usar el Winrar v6.11 https://justpaste.it/9lq47 Si los enlaces están muertos solo avísame respondiendo en el tema y lo soluciono. Siempre estoy suscrito a mis aportes.
  24. Mathworks MATLAB R2022a Mathworks MATLAB R2022a | Exe | Inglés | Medicina Incl. | Comprimido: Si | 10 Partes (2 GB) | 19.8 GB MATLAB es un lenguaje de computación técnica de alto nivel y un entorno interactivo para desarrollo de algoritmos, visualización de datos, análisis de datos y cálculo numérico. Con MATLAB, podrá resolver problemas de cálculo técnico más rápidamente que con lenguajes de programación tradicionales, tales como C, C++ y FORTRAN. Puede usar MATLAB en una amplia gama de aplicaciones que incluyen procesamiento de señales e imágenes, comunicaciones, diseño de sistemas de control, sistemas de prueba y medición, modelado y análisis financiero y biología computacional. Los conjuntos de herramientas complementarios (colecciones de funciones de MATLAB para propósitos especiales, que están disponibles por separado) amplían el entorno de MATLAB permitiendo resolver problemas especiales en estas áreas de aplicación. Además, MATLAB contiene una serie de funciones para documentar y compartir su trabajo. Puede integrar su código de MATLAB con otros lenguajes y aplicaciones, y distribuir los algoritmos y aplicaciones que desarrollo usando MATLAB. Lenguaje de alto nivel para cálculo técnico Entorno de desarrollo para la gestión de código, archivos y datos Herramientas interactivas para exploración, diseño y resolución de problemas iterativos Funciones matemáticas para álgebra lineal, estadística, análisis de Fourier, filtraje, optimización e integración numérica Funciones gráficas bidimensionales y tridimensionales para visualización de datos Herramientas para crear interfaces gráficas de usuario personalizadas Funciones para integrar los algoritmos basados en MATLAB con aplicaciones y lenguajes externos, tales como C/C++, FORTRAN, Java, COM y Microsoft Excel. Aspectos destacados de la versión R2022a: Nuevos productos Bluetooth Toolbox: simule, analice y pruebe sistemas de comunicaciones Bluetooth. DSP HDL Toolbox: diseñe aplicaciones de procesamiento digital de señales para FPGA, ASIC y SoC. Industrial Communication Toolbox: intercambie datos a través de OPC UA, Modbus, MQTT y otros protocolos industriales. RoadRunner Scenario: cree y reproduzca escenarios de simulación de conducción autónoma. Wireless Testbench: explore y pruebe aplicaciones inalámbricas de referencia en tiempo real en hardware SDR. Actualizaciones importantes Econometrics Toolbox: realice pruebas de cointegración y ajuste modelos de series temporales multivariantes de manera interactiva en la app Econometric Modeler. MATLAB Compiler SDK: publique una función de MATLAB como microservicio de un contenedor Docker. MATLAB Production Server: asigne direcciones URL de solicitud personalizadas a funciones de MATLAB desplegadas, proporcione contenido estático, y personalice encabezados de solicitud. Polyspace Access: identifique defectos de codificación, revise resultados de análisis estáticos, y supervise métricas de calidad de software. Requirements Toolbox: vincule los requisitos con el código y las pruebas de MATLAB; formalice y valide los requisitos. Risk Management Toolbox: realice cálculos de pérdidas de crédito lifetime esperadas (ELS) en el nivel de cartera o activo individual. Robotics System Toolbox: genere escenarios cuboides y simule lecturas de sensores para aplicaciones de robótica. Signal Processing Toolbox: utilice flujos de trabajo de IA para preprocesar, extraer características y etiquetar señales. Simulink Check: cree comprobaciones en tiempo de edición personalizadas y justifique infracciones de Model Advisor. Simulink Real-Time: soporte de plataformas Linux para equipos de desarrollo. Requisitos de Sistema: Sistema Operativo: Windows 11, Windows 10 (version 1909 o superior). Windows Server 2019. Nota: Windows 7 is no longer supported Windows Server 2016 is no longer supported Procesador: Mínimo: Any Intel or AMD x86-64 processor. Recomendad0 Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support. Disco: Mínimo: 3,6 GB de espacio en disco solo para MATLAB, 5-8 GB para una instalación típica Recomendado: Se recomienda un SSD Una instalación completa de todos los productos de MathWorks puede ocupar hasta 31,5 GB de espacio en disco. RAM: Mínimo: 4GB Recomendado: 8GB Para Polyspace, se recomiendan 4 GB por núcleo. Descargar desde UPLOADED - RAPIDGATOR - SEND - UP-4EVER https://justpaste.it/892tz Para descomprimir el archivo debes usar el Winrar v6.11 https://justpaste.it/9lq47 Si los enlaces están muertos solo avísame respondiendo en el tema y lo soluciono. Siempre estoy suscrito a mis aportes.
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