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Make it Stick - How To Learn Effectively .MP4 | Video: 1280x720, 30 fps® | Audio: AAC, 44100 Hz, 2ch | 278 MB Duration: 38 mins | Genre: eLearning Video | Language: English No Complicated Learning Techniques! Learn How To Look Within & Unlock Your Capability & Make Every Learning Counts! Gain clarity on what skills to pursue next. Know the techniques to improve your learning ability. No Complicated Learning Techniques! Learn How To Look Within & Unlock Your Capability & Make Every Learning Counts! What you'll learn Gain clarity on what skills to pursue next. Resist the temptations of chasing shiny objects. Know the techniques to improve your learning ability. Learn how to make use of your five senses to your advantage when learning. Requirements Open mind and curiosity. Description Do you encounter the following challenges when it comes to learning? - Signing up too many courses and not knowing which one to start? - Not knowing which skills to pursue next? - Unsure who to learn from? - Having difficulty practicing what you learn? - Having difficulty remembering what you learn in classrooms or online learning? - Always get distracted by the latest trends or shiny objects? Then this course will help you overcome all the challenges above! This short but effective course is specially designed by KC Tan, who self-taught all the skills he has now. From developing websites, starting online businesses to getting clients in the local market, he has learned the required skills either though books, online learning or peer to peer platforms like forums. Now you can also apply what he knows and improve your learning ability and most importantly, able to apply in your life especially in your work and career! The highlights of this course includes: - Understand what 'Learning' really means based on the ancient Chinese characters. - Master a timeless concept when it comes to learning! - Understand why many people hate learning and reverse that behavior! - Steps to identify what skill you need to learn next! - Knowing who to learn from . - Key factors that will affect your learning and how to improve them! - Learn how to create an environment that will make your learning stick! - Avoid the 5 common pitfalls when it comes to learning! KC has specially designed this course to be very short so that you are able to get through it quickly and apply what are the most essentials. He always supports his learners by answering questions daily in the discussion area personally so you are guaranteed to have your doubts answered! Sign up this course now and start to make every learning counts starting today! Who this course is for: Anyone who wants to learn effectively and make the very best out of each learning investment. Life-long learners. If you want to find out what skills you should learn next. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/F4C7E2238C3A530/5oyzj.Make.it.Stick..How.To.Learn.Effectively.rar https://rapidgator.net/file/b13766074e46b8b0934927f0cbc01e6e/5oyzj.Make.it.Stick..How.To.Learn.Effectively.rar http://turbobit.net/pt3v1vqe48g3/5oyzj.Make.it.Stick..How.To.Learn.Effectively.rar.html

Make it Stick - How To Learn Effectively .MP4 | Video: 1280x720, 30 fps® | Audio: AAC, 44100 Hz, 2ch | 278 MB Duration: 38 mins | Genre: eLearning Video | Language: English No Complicated Learning Techniques! Learn How To Look Within & Unlock Your Capability & Make Every Learning Counts! Gain clarity on what skills to pursue next. Know the techniques to improve your learning ability. No Complicated Learning Techniques! Learn How To Look Within & Unlock Your Capability & Make Every Learning Counts! What you'll learn Gain clarity on what skills to pursue next. Resist the temptations of chasing shiny objects. Know the techniques to improve your learning ability. Learn how to make use of your five senses to your advantage when learning. Requirements Open mind and curiosity. Description Do you encounter the following challenges when it comes to learning? - Signing up too many courses and not knowing which one to start? - Not knowing which skills to pursue next? - Unsure who to learn from? - Having difficulty practicing what you learn? - Having difficulty remembering what you learn in classrooms or online learning? - Always get distracted by the latest trends or shiny objects? Then this course will help you overcome all the challenges above! This short but effective course is specially designed by KC Tan, who self-taught all the skills he has now. From developing websites, starting online businesses to getting clients in the local market, he has learned the required skills either though books, online learning or peer to peer platforms like forums. Now you can also apply what he knows and improve your learning ability and most importantly, able to apply in your life especially in your work and career! The highlights of this course includes: - Understand what 'Learning' really means based on the ancient Chinese characters. - Master a timeless concept when it comes to learning! - Understand why many people hate learning and reverse that behavior! - Steps to identify what skill you need to learn next! - Knowing who to learn from . - Key factors that will affect your learning and how to improve them! - Learn how to create an environment that will make your learning stick! - Avoid the 5 common pitfalls when it comes to learning! KC has specially designed this course to be very short so that you are able to get through it quickly and apply what are the most essentials. He always supports his learners by answering questions daily in the discussion area personally so you are guaranteed to have your doubts answered! Sign up this course now and start to make every learning counts starting today! Who this course is for: Anyone who wants to learn effectively and make the very best out of each learning investment. Life-long learners. If you want to find out what skills you should learn next. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/F4C7E2238C3A530/5oyzj.Make.it.Stick..How.To.Learn.Effectively.rar https://rapidgator.net/file/b13766074e46b8b0934927f0cbc01e6e/5oyzj.Make.it.Stick..How.To.Learn.Effectively.rar http://turbobit.net/pt3v1vqe48g3/5oyzj.Make.it.Stick..How.To.Learn.Effectively.rar.html

Magical Mockups MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 31M | 385 MB Genre: eLearning | Language: English In this Skillshare class you will learn how to use mock-ups (a beautiful image of a file that you can add your work to when you don't have ideal photography situations.) Mockups are a great way to display your work in the best light. From placing your work in a room you can't access to showing your work in five settings in one listing! DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/1969F45E9FB269F/9cjhd.Magical.Mockups.part1.rar http://nitroflare.com/view/B2A71F01B411ECA/9cjhd.Magical.Mockups.part2.rar https://rapidgator.net/file/b51d796156a636ad107c756a219aa164/9cjhd.Magical.Mockups.part1.rar https://rapidgator.net/file/e4a8b7957834e575095e454ca79a5a2b/9cjhd.Magical.Mockups.part2.rar http://turbobit.net/dbebt7ztsaoc/9cjhd.Magical.Mockups.part1.rar.html http://turbobit.net/03qwhv552uha/9cjhd.Magical.Mockups.part2.rar.html

Machine learning with R (RF, Adabost.M1, DT, NB, LR, NN) MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours | Lec: 15 | 2.71 GB Genre: eLearning | Language: English RF, Adabost.M1, DecisionTree, Logistic Regression , Naive Bayes, Neural Network, CNN, K-mean , Linear regress How to download and install R How to set your working directory import your data and detect rows containing missing values For binary classification Training and prediction using the Random Forest model , prediction accuracy, Confusion matrix and confidence interval Training and prediction using the Adabost.M1 model , prediction accuracy, Confusion matrix and confidence interval Training and prediction using the Decision Tree model , prediction accuracy, Confusion matrix and confidence interval Training and prediction using the logistic regression model, prediction accuracy, confusion matrix and confidence interval Training and prediction using the Naive Bayes model, prediction accuracy, confusion matrix and confidence interval Training and prediction using the Neural Network model , prediction accuracy, confusion matrix and confidence interval Training and prediction using the Convolutional neural network (KNN) , prediction accuracy, confusion matrix and confidence interval DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/5CEB6A3BF1D5ABA/ias35.Machine.learning.with.R.RF.Adabost.M1.DT.NB.LR.NN.part1.rar http://nitroflare.com/view/273F1AE8B878595/ias35.Machine.learning.with.R.RF.Adabost.M1.DT.NB.LR.NN.part2.rar http://nitroflare.com/view/1D9A20BC5F47628/ias35.Machine.learning.with.R.RF.Adabost.M1.DT.NB.LR.NN.part3.rar http://nitroflare.com/view/28A34A0337357D5/ias35.Machine.learning.with.R.RF.Adabost.M1.DT.NB.LR.NN.part4.rar http://nitroflare.com/view/9DF3E062D102398/ias35.Machine.learning.with.R.RF.Adabost.M1.DT.NB.LR.NN.part5.rar https://rapidgator.net/file/db8ffc862a470ff29d3017043a938a25/ias35.Machine.learning.with.R.RF.Adabost.M1.DT.NB.LR.NN.part1.rar https://rapidgator.net/file/c0dbda2a5eefcbdb88e2affddac99577/ias35.Machine.learning.with.R.RF.Adabost.M1.DT.NB.LR.NN.part2.rar https://rapidgator.net/file/a49b161404c1596370707b9a1c851328/ias35.Machine.learning.with.R.RF.Adabost.M1.DT.NB.LR.NN.part3.rar https://rapidgator.net/file/0ce7d38ad5ba1dd16c18fecdd5794b42/ias35.Machine.learning.with.R.RF.Adabost.M1.DT.NB.LR.NN.part4.rar https://rapidgator.net/file/25518ef8199c4a93717e12e38aaf2846/ias35.Machine.learning.with.R.RF.Adabost.M1.DT.NB.LR.NN.part5.rar http://turbobit.net/3wgz4a6xmg6w/ias35.Machine.learning.with.R.RF.Adabost.M1.DT.NB.LR.NN.part1.rar.html http://turbobit.net/83hegbkea2z7/ias35.Machine.learning.with.R.RF.Adabost.M1.DT.NB.LR.NN.part2.rar.html http://turbobit.net/leg9emxam1xh/ias35.Machine.learning.with.R.RF.Adabost.M1.DT.NB.LR.NN.part3.rar.html http://turbobit.net/v9u1yzze24g9/ias35.Machine.learning.with.R.RF.Adabost.M1.DT.NB.LR.NN.part4.rar.html http://turbobit.net/q2tikx367ub9/ias35.Machine.learning.with.R.RF.Adabost.M1.DT.NB.LR.NN.part5.rar.html

Machine Learning with Python from Scratch .MP4 | Video: 1280x720, 30 fps® | Audio: AAC, 48000 Hz, 2ch | 5.51 GB Duration: 12.5 hours | Genre: eLearning Video | Language: English Mastering Machine Learning Algorithms including Neural Networks with Numpy, Pandas, Matplotlib, Seaborn and Scikit-Learn. Have an understand of Machine Learning and how to apply it in your own programs Mastering Machine Learning Algorithms including Neural Networks with Numpy, Pandas, Matplotlib, Seaborn and Scikit-Learn. What you'll learn Have an understand of Machine Learning and how to apply it in your own programs Understand and be able to use Pythons main scientific libraries for Data analysis - Numpy, Pandas, Matplotlib and Seaborn. Understand and be able to use artificial neural networks Obtain a solid understand of machine learning in general Potential for a new job in the future. Requirements Basic knowledge of Python Basic knowledge of Linear Algebra No previous experience in Machine learning, or any of the various libraries are needed. Description Machine Learning is a hot topic! Python Developers who understand how to work with Machine Learning are in high demand. But how do you get started? Maybe you tried to get started with Machine Learning, but couldn't find decent tutorials online to bring you up to speed, fast. Maybe the information you found was too basic, and didn't give you the real-world Machine learning skills using Python that you needed. Or maybe the information got bogged down in complex math explanations and was too difficult to relate to. Whatever the reason, you are in the right place if you want to progress your skills in Machine Language using Python. This course will help you to understand the main machine learning algorithms using Python, and how to apply them in your own projects. But what exactly is Machine Learning? It's a field of computer science that gives computers the ability to "learn" - e.g. continually improve performance on a specific task, with data, without being explicitly programmed. Why is it important? Machine learning is often used to solve tasks considered too complex for humans to solve. We create algorithms and apply a bunch of data to that algorithm and let the computer process (execute) the algorithm and search for a model (solution). Because of the practical applications of machine learning, such as self driving cars (one example) there is huge interest from companies and government in Machine learning, and as a result, there are a a lot of opportunities for Python developers who are skilled in this field. If you want to increase your career options, then understanding and being able to work with Machine Learning with your own Python programs should be high on your list of priorities. What will you learn in this course? For starters, you will learn about the main scientific libraries in Python for data analysis such as Numpy, Pandas, Matplotlib and Seaborn. You'll then learn about artificial neural networks and how to work with machine learning models using them. You obtain a solid background in machine learning and be able to apply that knowledge directly in your own programs. What are the Main topics included in the course? Data Analysis with Numpy, Pandas, Matplotlib and Seaborn. The machine learning schema. Overfitting and Underfitting K Fold Cross Validation Classification metrics Regularization: Lasso, Ridge and ElasticNet Logistic Regression Support Vector Machines for Regression and Classification Naive Bayes Classifier Decision Trees and Random Forest KNN classifier Hyperparameter Optimization: GridSearchCV Principal Component Analysis (PCA) Linear Discriminant Analysis (LDA) Kernel Principal Component Analysis (KPCA) Ensemble methods: Bagging AdaBoost K means clustering analysis Regression model and evaluation Linear and Polynomial Regression SVM, KNN, and Random Forest for Regression RANSAC Regression Neural Networks: Constructing our own MLP. Perceptron and Multilayer Perceptron And don't worry if you do not understand some, or all of these terms. By the end of the course you will know what they are and how to use them. Why enrolling in this course is the best decision you can make. This course helps you to understand the difficult concepts of Machine learning in a unique way. Rather than just focusing on complex maths explanaitons, simpler explanations with charts, and info displays are included. Many examples and genuinely useful code snippets are also included to make it even easier to learn and understand. After completing this course, you will have the necessary skills to apply Machine learning in your own projects. The sooner you sign up for this course, the sooner you will have the skills and knowledge you need to increase your job or consulting opportunities. Your new job or consulting opportunity awaits! Why not get started today? Click the Signup button to sign up for the course! Who this course is for: Students who wish to take their basic Python skills to the next level by mastering Pythons various scientific libraries Students who want to understand and apply Machine Learning into their own programs Students wanting to empower themselves with machine learning. 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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 10 hours | Size: 6.59 GB Machine Learning and Data Science for programming beginners using python with scikit-learn, SciPy, MatDescriptionlib & Pandas What you'll learn Machine Learning and Data Science using Python for Beginners Requirements A medium configuration computer and the willingness to indulge in the world of Machine Learning Description Hi.. Hello and new course, Machine Learning with Python for Dummies. We will discuss about the overview of the course and the contents included in this course. Artificial Intelligence, Machine Learning and Deep Learning Neural Networks are the most used terms now a days in the technology world. Its also the most mis-understood and confused terms too. Artificial Intelligence is a broad spectrum of science which tries to make machines intelligent like humans. Machine Learning and Neural Networks are two subsets that comes under this vast machine learning platform Lets check what's machine learning now. Just like we human babies, we were actually in our learning phase then. We learned how to crawl, stand, walk, then speak words, then make simple sentences.. We learned from our experiences. We had many trials and errors before we learned how to walk and talk. The best trials for walking and talking which gave positive results were kept in our memory and made use later. This process is highly compared to a Machine Learning Mechanism Then we grew young and started thinking logically about many things, had emotional feelings, etc. We kept on thinking and found solutions to problems in our daily life. That's what the Deep Learning Neural Network Scientists are trying to achieve. A thinking machine. But in this course we are focusing mainly in Machine Learning. Throughout this course, we are preparing our machine to make it ready for a prediction test. Its Just like how you prepare for your Mathematics Test in school or college. We learn and train ourselves by solving the most possible number of similar mathematical problems. Lets call these sample data of similar problems and their solutions as the 'Training Input' and 'Training Output' Respectively. And then the day comes when we have the actual test. We will be given new set of problems to solve, but very similar to the problems we learned, and based on the previous practice and learning experiences, we have to solve them. We can call those problems as 'Testing Input' and our answers as 'Predicted Output'. Later, our professor will evaluate these answers and compare it with its actual answers, we call the actual answers as 'Test Output'. Then a mark will be given on basis of the correct answers. We call this mark as our 'Accuracy'. The life of a machine learning engineer and a data-scientist is dedicated to make this accuracy as good as possible through different techniques and evaluation measures. Here are the major topics that are included in this course. We are using Python as our programming language. Python is a great tool for the development of programs which perform data analysis and prediction. It has tons of classes and features which perform the complex mathematical analysis and give solutions in simple one or two lines of code so that we don't have to be a statistic genius or mathematical Nerd to learn data science and machine learning. Python really makes things easy. These are the main topics that are included in our course System and Environment preparation - Installing Python and Required Libraries (Anaconda) Basics of python and sci-py Python, Numpy , MatDescriptionlib and Pandas Quick Courses Load data set from csv / url Load CSV data with Python, NumPY and Pandas Summarize data with description Peeking data, Data Dimensions, Data Types, Statistics, Class Distribution, Attribute Correlations, Univariate Skew Summarize data with visualization - Univariate, Multivariate Descriptions Prepare data Data Transforms, Rescaling, Standardizing, Normalizing and Binarization Feature selection - Automatic selection techniques - Univariate Selection, Recursive Feature Elimination, Principle Component Analysis and Feature Importance Machine Learning Algorithm Evaluation - Train and Test Sets, K-fold Cross Validation, Leave One Out Cross Validation, Repeated Random Test-Train Splits. Algorithm Evaluation Metrics Classification Metrics - Classification Accuracy, Logarithmic Loss, Area Under ROC Curve, Confusion Matrix, Classification Report. Regression Metrics - Mean Absolute Error, Mean Squared Error, R 2. Spot-Checking Classification Algorithms - Linear Algorithms - Logistic Regression, Linear Discriminant Analysis. Non-Linear Algorithms - k-Nearest Neighbours, Naive Bayes, Classification and Regression Trees, Support Vector Machines. Spot-Checking Regression Algorithms - Linear Algorithms - Linear Regression, Ridge Regression, LASSO Linear Regression and Elastic Net Regression. Non-Linear Algorithms - k-Nearest Neighbours, Classification and Regression Trees, Support Vector Machines. Choose The Best Machine Learning Model - Compare Logistic Regression, Linear Discriminant Analysis, k-Nearest Neighbours, Classification and Regression Trees, Naive Bayes, Support Vector Machines. Automate and Combine Workflows with Pipeline - Data Preparation and Modelling Pipeline Feature Extraction and Modelling Pipeline Performance Improvement with Ensembles - Voting Ensemble Bagging: Bagged Decision Trees, Random Forest, Extra Trees Boosting: AdaBoost, Gradient Boosting Performance Improvement with Algorithm Parameter Tuning Grid Search Parameter Random Search Parameter Tuning Save and Load (serialize and deserialize) Machine Learning Models - Using pickle Using Joblib finalize a machine learning project - steps For Finalizing classification models - pima indian dataset steps For Finalizing regression models - boston housing dataset Predictions and Case Studies - Case study 1: predictions using the Pima Indian Diabetes Dataset Case study 2: the Boston Housing cost Dataset Machine Learning and Data Science is the most lucrative job in the technology arena now a days. Learning this course will make you equipped to compete in this area. Best wishes with your learning. Se you soon in the class room. 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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 10 hours | Size: 6.59 GB Machine Learning and Data Science for programming beginners using python with scikit-learn, SciPy, MatDescriptionlib & Pandas What you'll learn Machine Learning and Data Science using Python for Beginners Requirements A medium configuration computer and the willingness to indulge in the world of Machine Learning Description Hi.. Hello and new course, Machine Learning with Python for Dummies. We will discuss about the overview of the course and the contents included in this course. Artificial Intelligence, Machine Learning and Deep Learning Neural Networks are the most used terms now a days in the technology world. Its also the most mis-understood and confused terms too. Artificial Intelligence is a broad spectrum of science which tries to make machines intelligent like humans. Machine Learning and Neural Networks are two subsets that comes under this vast machine learning platform Lets check what's machine learning now. Just like we human babies, we were actually in our learning phase then. We learned how to crawl, stand, walk, then speak words, then make simple sentences.. We learned from our experiences. We had many trials and errors before we learned how to walk and talk. The best trials for walking and talking which gave positive results were kept in our memory and made use later. This process is highly compared to a Machine Learning Mechanism Then we grew young and started thinking logically about many things, had emotional feelings, etc. We kept on thinking and found solutions to problems in our daily life. That's what the Deep Learning Neural Network Scientists are trying to achieve. A thinking machine. But in this course we are focusing mainly in Machine Learning. Throughout this course, we are preparing our machine to make it ready for a prediction test. Its Just like how you prepare for your Mathematics Test in school or college. We learn and train ourselves by solving the most possible number of similar mathematical problems. Lets call these sample data of similar problems and their solutions as the 'Training Input' and 'Training Output' Respectively. And then the day comes when we have the actual test. We will be given new set of problems to solve, but very similar to the problems we learned, and based on the previous practice and learning experiences, we have to solve them. We can call those problems as 'Testing Input' and our answers as 'Predicted Output'. Later, our professor will evaluate these answers and compare it with its actual answers, we call the actual answers as 'Test Output'. Then a mark will be given on basis of the correct answers. We call this mark as our 'Accuracy'. The life of a machine learning engineer and a data-scientist is dedicated to make this accuracy as good as possible through different techniques and evaluation measures. Here are the major topics that are included in this course. We are using Python as our programming language. Python is a great tool for the development of programs which perform data analysis and prediction. It has tons of classes and features which perform the complex mathematical analysis and give solutions in simple one or two lines of code so that we don't have to be a statistic genius or mathematical Nerd to learn data science and machine learning. Python really makes things easy. These are the main topics that are included in our course System and Environment preparation - Installing Python and Required Libraries (Anaconda) Basics of python and sci-py Python, Numpy , MatDescriptionlib and Pandas Quick Courses Load data set from csv / url Load CSV data with Python, NumPY and Pandas Summarize data with description Peeking data, Data Dimensions, Data Types, Statistics, Class Distribution, Attribute Correlations, Univariate Skew Summarize data with visualization - Univariate, Multivariate Descriptions Prepare data Data Transforms, Rescaling, Standardizing, Normalizing and Binarization Feature selection - Automatic selection techniques - Univariate Selection, Recursive Feature Elimination, Principle Component Analysis and Feature Importance Machine Learning Algorithm Evaluation - Train and Test Sets, K-fold Cross Validation, Leave One Out Cross Validation, Repeated Random Test-Train Splits. Algorithm Evaluation Metrics Classification Metrics - Classification Accuracy, Logarithmic Loss, Area Under ROC Curve, Confusion Matrix, Classification Report. Regression Metrics - Mean Absolute Error, Mean Squared Error, R 2. Spot-Checking Classification Algorithms - Linear Algorithms - Logistic Regression, Linear Discriminant Analysis. Non-Linear Algorithms - k-Nearest Neighbours, Naive Bayes, Classification and Regression Trees, Support Vector Machines. Spot-Checking Regression Algorithms - Linear Algorithms - Linear Regression, Ridge Regression, LASSO Linear Regression and Elastic Net Regression. Non-Linear Algorithms - k-Nearest Neighbours, Classification and Regression Trees, Support Vector Machines. Choose The Best Machine Learning Model - Compare Logistic Regression, Linear Discriminant Analysis, k-Nearest Neighbours, Classification and Regression Trees, Naive Bayes, Support Vector Machines. Automate and Combine Workflows with Pipeline - Data Preparation and Modelling Pipeline Feature Extraction and Modelling Pipeline Performance Improvement with Ensembles - Voting Ensemble Bagging: Bagged Decision Trees, Random Forest, Extra Trees Boosting: AdaBoost, Gradient Boosting Performance Improvement with Algorithm Parameter Tuning Grid Search Parameter Random Search Parameter Tuning Save and Load (serialize and deserialize) Machine Learning Models - Using pickle Using Joblib finalize a machine learning project - steps For Finalizing classification models - pima indian dataset steps For Finalizing regression models - boston housing dataset Predictions and Case Studies - Case study 1: predictions using the Pima Indian Diabetes Dataset Case study 2: the Boston Housing cost Dataset Machine Learning and Data Science is the most lucrative job in the technology arena now a days. Learning this course will make you equipped to compete in this area. Best wishes with your learning. Se you soon in the class room. 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Machine Learning with javascript .MP4 | Video: 1280x720, 30 fps® | Audio: AAC, 48000 Hz, 2ch | 10 GB Duration: 17.5 hours | Genre: eLearning Video | Language: English Master Machine Learning from scratch using javascript and TensorflowJS with hands-on projects. Assemble machine learning algorithms from scratch! Understand how ML works without relying on mysterious libraries Master Machine Learning from scratch using javascript and TensorflowJS with hands-on projects. What you'll learn Assemble machine learning algorithms from scratch! Build interesting applications using javascript and ML techniques Understand how ML works without relying on mysterious libraries Optimize your algorithms with advanced performance and memory usage profiling Use the low-level features of Tensorflow JS to supercharge your algorithms Grow a strong intuition of ML best practices Requirements Basic understanding of terminal and command line usage Ability to read basic math equations A short list of what you will learn: Advanced memory profiling to enhance the performance of your algorithms Build apps powered by the powerful Tensorflow JS library Develop programs that work either in the browser or with Node JS Write clean, easy to understand ML code, no one-name variables or confusing functions Pick up the basics of Linear Algebra so you can dramatically speed up your code with matrix-based operations. (Don't worry, I'll make the math easy!) Comprehend how to twist common algorithms to fit your unique use cases Plot the results of your analysis using a custom-build graphing library Learn performance-enhancing strategies that can be applied to any type of javascript code Data loading techniques, both in the browser and Node JS environments Who this course is for: javascript developers interested in Machine Learning DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/748A405FC51DD41/07zzz.Machine.Learning.with.Javascript.part01.rar http://nitroflare.com/view/0D2C12E195046F2/07zzz.Machine.Learning.with.Javascript.part02.rar http://nitroflare.com/view/B33CA4CCF58D6C5/07zzz.Machine.Learning.with.Javascript.part03.rar http://nitroflare.com/view/D0BEC4CF0EFF41B/07zzz.Machine.Learning.with.Javascript.part04.rar http://nitroflare.com/view/AB6D3DC72B5B1A0/07zzz.Machine.Learning.with.Javascript.part05.rar http://nitroflare.com/view/5905BE2580D05A8/07zzz.Machine.Learning.with.Javascript.part06.rar http://nitroflare.com/view/9C731B9B110C4DE/07zzz.Machine.Learning.with.Javascript.part07.rar http://nitroflare.com/view/A782D8B1E197054/07zzz.Machine.Learning.with.Javascript.part08.rar http://nitroflare.com/view/2682A5267A4CA7D/07zzz.Machine.Learning.with.Javascript.part09.rar http://nitroflare.com/view/421F89BFDB32D02/07zzz.Machine.Learning.with.Javascript.part10.rar http://nitroflare.com/view/42B05EE6514C761/07zzz.Machine.Learning.with.Javascript.part11.rar https://rapidgator.net/file/de4a69ed75abea4338fba498574bc689/07zzz.Machine.Learning.with.Javascript.part01.rar https://rapidgator.net/file/8793ed4189818298101aa1e88d2d0789/07zzz.Machine.Learning.with.Javascript.part02.rar https://rapidgator.net/file/543f77c2e24437e698de51aef253490e/07zzz.Machine.Learning.with.Javascript.part03.rar https://rapidgator.net/file/d527d13b72751f2ef236533929c4d0ae/07zzz.Machine.Learning.with.Javascript.part04.rar https://rapidgator.net/file/e25c22c99ef550a59ef3b559ab2ace75/07zzz.Machine.Learning.with.Javascript.part05.rar https://rapidgator.net/file/b1b033d40396708b1a97ddb4297bb78e/07zzz.Machine.Learning.with.Javascript.part06.rar https://rapidgator.net/file/50dc6f8521a469474bd82be3731a9014/07zzz.Machine.Learning.with.Javascript.part07.rar https://rapidgator.net/file/211caeb43b34eb9737d0843d3a0590de/07zzz.Machine.Learning.with.Javascript.part08.rar https://rapidgator.net/file/7231d706a96b5157c5572e60fbf85bb8/07zzz.Machine.Learning.with.Javascript.part09.rar https://rapidgator.net/file/fe4bf36fd714d8a495ebdfdb4ea61c2d/07zzz.Machine.Learning.with.Javascript.part10.rar https://rapidgator.net/file/320b2583f3541fd3f5a2bee2df45f682/07zzz.Machine.Learning.with.Javascript.part11.rar http://turbobit.net/qxqwtr2axukv/07zzz.Machine.Learning.with.Javascript.part01.rar.html http://turbobit.net/1g2si2htb3o4/07zzz.Machine.Learning.with.Javascript.part02.rar.html http://turbobit.net/szby9gd9zhei/07zzz.Machine.Learning.with.Javascript.part03.rar.html http://turbobit.net/a2bk9ygn90ag/07zzz.Machine.Learning.with.Javascript.part04.rar.html http://turbobit.net/lb34tldu7v81/07zzz.Machine.Learning.with.Javascript.part05.rar.html http://turbobit.net/iiif1mn3i75c/07zzz.Machine.Learning.with.Javascript.part06.rar.html http://turbobit.net/y0571wgev4uj/07zzz.Machine.Learning.with.Javascript.part07.rar.html http://turbobit.net/192xfcnfkci2/07zzz.Machine.Learning.with.Javascript.part08.rar.html http://turbobit.net/bup8sjkvy1ih/07zzz.Machine.Learning.with.Javascript.part09.rar.html http://turbobit.net/sbudij525ni0/07zzz.Machine.Learning.with.Javascript.part10.rar.html http://turbobit.net/1wn7vwoda5g1/07zzz.Machine.Learning.with.Javascript.part11.rar.html

Machine Learning from the scratch using Python pdate .MP4 | Video: 1280x720, 30 fps® | Audio: AAC, 44100 Hz, 2ch | 4.51 GB Duration: 15 hours | Genre: eLearning Video | Language: English Machines are now learning, why aren't you? What you'll learn Great knowledge of Machine Learning and Deep Learning Algorithms. Work on real case studies 5 projects to work on which can be easily put up on resume for better placements. Build your own ML Algorithm, Models and Predictions. Hands-on Numpy, Panda, MatDescriptionlib, etc and many more Requirements Basic Python, Mathematics and Statistics If you want to take python lectures I have a ' Python for Data Science from Scratch ' course also running here, you can enroll and go through that as well before starting with this. Description This course is for those who want to step into Artificial Intelligence domain, specially into Machine Learning, though I will be covering Deep Learning in deep as well. This is a basic course for beginners, just if you can get basic knowledge of Python that would be great and helpful to you to grasp things quickly. If you want to take python lectures I have created a ' Python for Data Science from Scratch ' course also , you can enroll and go through that as well before starting with this. There are 4-5 Projects on real data set which will be very helpful to start your career in this domain, Right now if you don't see the project, don't panic, it might have gone old so I've put it down for modifications. I will be updating course on daily basis, so stay tuned. Enjoy and Good Luck. Who this course is for: Beginner or Stepping into AI, ML, DL domain with 4-5 Projects on real data set. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/3A498EC09C8E3A6/3z34l.Machine.Learning.from.the.scratch.using.Python.Update.part1.rar http://nitroflare.com/view/DBFD9957D5F7538/3z34l.Machine.Learning.from.the.scratch.using.Python.Update.part2.rar http://nitroflare.com/view/62CE39673E12A70/3z34l.Machine.Learning.from.the.scratch.using.Python.Update.part3.rar http://nitroflare.com/view/8EC86DB33183C6F/3z34l.Machine.Learning.from.the.scratch.using.Python.Update.part4.rar http://nitroflare.com/view/410EA4ED0CE37FD/3z34l.Machine.Learning.from.the.scratch.using.Python.Update.part5.rar https://rapidgator.net/file/0cb83c35b2b85c13ba1278c439fc16da/3z34l.Machine.Learning.from.the.scratch.using.Python.Update.part1.rar https://rapidgator.net/file/d5fcc6950aca7f75d95f6a98d4fab7b0/3z34l.Machine.Learning.from.the.scratch.using.Python.Update.part2.rar https://rapidgator.net/file/45d8ab83aefcc058ea6b640c4d53fbf8/3z34l.Machine.Learning.from.the.scratch.using.Python.Update.part3.rar https://rapidgator.net/file/15156a4d76c8c8382af18ba3802a0ef0/3z34l.Machine.Learning.from.the.scratch.using.Python.Update.part4.rar https://rapidgator.net/file/3f641c1b0bdec0d3511df82b6688c58b/3z34l.Machine.Learning.from.the.scratch.using.Python.Update.part5.rar http://turbobit.net/j8mv284vie3j/3z34l.Machine.Learning.from.the.scratch.using.Python.Update.part1.rar.html http://turbobit.net/bhw8aodot3df/3z34l.Machine.Learning.from.the.scratch.using.Python.Update.part2.rar.html http://turbobit.net/fuy5v5os7p7w/3z34l.Machine.Learning.from.the.scratch.using.Python.Update.part3.rar.html http://turbobit.net/db2yci7brmyb/3z34l.Machine.Learning.from.the.scratch.using.Python.Update.part4.rar.html http://turbobit.net/8cpdm3t5wn1r/3z34l.Machine.Learning.from.the.scratch.using.Python.Update.part5.rar.html

Machine Learning from the scratch using Python pdate .MP4 | Video: 1280x720, 30 fps® | Audio: AAC, 44100 Hz, 2ch | 4.51 GB Duration: 15 hours | Genre: eLearning Video | Language: English Machines are now learning, why aren't you? What you'll learn Great knowledge of Machine Learning and Deep Learning Algorithms. Work on real case studies 5 projects to work on which can be easily put up on resume for better placements. Build your own ML Algorithm, Models and Predictions. Hands-on Numpy, Panda, MatDescriptionlib, etc and many more Requirements Basic Python, Mathematics and Statistics If you want to take python lectures I have a ' Python for Data Science from Scratch ' course also running here, you can enroll and go through that as well before starting with this. Description This course is for those who want to step into Artificial Intelligence domain, specially into Machine Learning, though I will be covering Deep Learning in deep as well. This is a basic course for beginners, just if you can get basic knowledge of Python that would be great and helpful to you to grasp things quickly. If you want to take python lectures I have created a ' Python for Data Science from Scratch ' course also , you can enroll and go through that as well before starting with this. There are 4-5 Projects on real data set which will be very helpful to start your career in this domain, Right now if you don't see the project, don't panic, it might have gone old so I've put it down for modifications. I will be updating course on daily basis, so stay tuned. Enjoy and Good Luck. Who this course is for: Beginner or Stepping into AI, ML, DL domain with 4-5 Projects on real data set. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/3A498EC09C8E3A6/3z34l.Machine.Learning.from.the.scratch.using.Python.Update.part1.rar http://nitroflare.com/view/DBFD9957D5F7538/3z34l.Machine.Learning.from.the.scratch.using.Python.Update.part2.rar http://nitroflare.com/view/62CE39673E12A70/3z34l.Machine.Learning.from.the.scratch.using.Python.Update.part3.rar http://nitroflare.com/view/8EC86DB33183C6F/3z34l.Machine.Learning.from.the.scratch.using.Python.Update.part4.rar http://nitroflare.com/view/410EA4ED0CE37FD/3z34l.Machine.Learning.from.the.scratch.using.Python.Update.part5.rar https://rapidgator.net/file/0cb83c35b2b85c13ba1278c439fc16da/3z34l.Machine.Learning.from.the.scratch.using.Python.Update.part1.rar https://rapidgator.net/file/d5fcc6950aca7f75d95f6a98d4fab7b0/3z34l.Machine.Learning.from.the.scratch.using.Python.Update.part2.rar https://rapidgator.net/file/45d8ab83aefcc058ea6b640c4d53fbf8/3z34l.Machine.Learning.from.the.scratch.using.Python.Update.part3.rar https://rapidgator.net/file/15156a4d76c8c8382af18ba3802a0ef0/3z34l.Machine.Learning.from.the.scratch.using.Python.Update.part4.rar https://rapidgator.net/file/3f641c1b0bdec0d3511df82b6688c58b/3z34l.Machine.Learning.from.the.scratch.using.Python.Update.part5.rar http://turbobit.net/j8mv284vie3j/3z34l.Machine.Learning.from.the.scratch.using.Python.Update.part1.rar.html http://turbobit.net/bhw8aodot3df/3z34l.Machine.Learning.from.the.scratch.using.Python.Update.part2.rar.html http://turbobit.net/fuy5v5os7p7w/3z34l.Machine.Learning.from.the.scratch.using.Python.Update.part3.rar.html http://turbobit.net/db2yci7brmyb/3z34l.Machine.Learning.from.the.scratch.using.Python.Update.part4.rar.html http://turbobit.net/8cpdm3t5wn1r/3z34l.Machine.Learning.from.the.scratch.using.Python.Update.part5.rar.html

MATH FUNDAMENTALS ALGEBRA-SERIES 1 MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours | Lec: 131 | 508 MB Genre: eLearning | Language: English Learn with best and easy way : Prime Factorization, LCM, GCF and Fractions At the end of each and every video lectures assignment questions and quiz questions will be provided to you to help you to test your understanding along the way. Learn with best and easy way : Prime Factorization, LCM, GCF and Fractions This course includes all possible types of fraction problems with video lectures and text explanations which help you to gain 100% confident while dealing with any types of fractions. 95% students found comfortable and confident in solving fractions after taking this course. In the video lectures few problems I have solved in two different methods, so that you can go with any of the method that makes better sense to you to understand the concept. At the end of each and every video lectures assignment questions and quiz questions will be provided to you to help you to test your understanding along the way. To become a Master in Fractions the course is organised into the following sections. *Prime Factorization.*Least Common Multiple (LCM)* Greatest Common factor (GCF)/Highest Common Factor (HCF).*Simplify fraction (or Reduce fraction) to the lowest term. *Convert mixed number to improper fraction. *Convert improper fraction to mixed number. *Add fractions with like denominators. *Subtract fractions with like denominators. *Add fractions with unlike denominators. *Subtract fractions with unlike denominators. *Multiply fractions. *Divide fractions. *Add and subtract mixed numbers (mixed fractions) with like denominators.*Add and subtract mixed numbers (mixed fractions) with unlike denominators. *Multiply and Divide mixed fractions. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/FFB0AD12F5ACA56/o87iq.MATH.FUNDAMENTALS.ALGEBRASERIES.1.part1.rar http://nitroflare.com/view/B362520857FDC5E/o87iq.MATH.FUNDAMENTALS.ALGEBRASERIES.1.part2.rar https://rapidgator.net/file/421622762eb7dd3ce9b791dad1db339f/o87iq.MATH.FUNDAMENTALS.ALGEBRASERIES.1.part1.rar https://rapidgator.net/file/80098386a63bd2e60647943c32d51301/o87iq.MATH.FUNDAMENTALS.ALGEBRASERIES.1.part2.rar http://turbobit.net/n0p027qaqjcx/o87iq.MATH.FUNDAMENTALS.ALGEBRASERIES.1.part1.rar.html http://turbobit.net/hr4p5c71iqcb/o87iq.MATH.FUNDAMENTALS.ALGEBRASERIES.1.part2.rar.html

Intermediate | 2h 10m | 779 MB | Software used: Photoshop Title: Lynda Targeted Adjustments in Photoshop CC Info: Sometimes you want to edit just a small section of an image. Targeted adjustments allow you to restrict your changes to a certain area of a photograph, based on its shape, opacity, color, focus, or brightness. In this course, photographer and educator Tim Grey show you how to use the tools in Photoshop CC to create and apply targeted adjustments. First, learn how to build precise selections, layer masks, alpha channels, and quick masks. Then find how to edit and refine your masks using the Invert and Feather commands, dodging and burning, and filters like Dust and Scratches. The workshop places a special emphasis on understanding the underlying concepts, and then mixing and matching different tools and techniques to unleash the full power of what Photoshop can do for you. By the end, youR17;ll be able to use targeted adjustments to fix exposure, swap backgrounds, change the colors of products, and much more. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/28D3CA742C6E951/bdr9d.Lynda.Targeted.Adjustments.in.Photoshop.CC.part1.rar http://nitroflare.com/view/24F4022CAEC2C9D/bdr9d.Lynda.Targeted.Adjustments.in.Photoshop.CC.part2.rar http://nitroflare.com/view/B5C55C67A7F071A/bdr9d.Lynda.Targeted.Adjustments.in.Photoshop.CC.part3.rar https://rapidgator.net/file/92c044c7a2ababa4228a1662feaae342/bdr9d.Lynda.Targeted.Adjustments.in.Photoshop.CC.part1.rar https://rapidgator.net/file/01c676cf4c9a45584537f4349d4b5092/bdr9d.Lynda.Targeted.Adjustments.in.Photoshop.CC.part2.rar https://rapidgator.net/file/17be9642170bea7a504ce9407a57fd8d/bdr9d.Lynda.Targeted.Adjustments.in.Photoshop.CC.part3.rar http://turbobit.net/lddjoc4efx15/bdr9d.Lynda.Targeted.Adjustments.in.Photoshop.CC.part1.rar.html http://turbobit.net/waj51badnz3k/bdr9d.Lynda.Targeted.Adjustments.in.Photoshop.CC.part2.rar.html http://turbobit.net/ay0v900ib2la/bdr9d.Lynda.Targeted.Adjustments.in.Photoshop.CC.part3.rar.html

Beginner | 0h 44m | 142 MB Title: Lynda Animating in 2D: Loosening Up Info: Build more natural, flexible characters with these 2D animation tips from Dermot OR17; Connor, an animator for Don Bluth and the Disney company. This short, focused course gathers Dermot best tips for loosening up animation, including techniques such as reversal, overlap, and follow-though. Plus, learn how to drag body parts and move them on different timing patterns to escape the limited look of TV animation. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/4EAD07C825BB39C/8hig6.Lynda.Animating.in.2D.Loosening.Up.rar https://rapidgator.net/file/92fb0b934fce1cefe47baf91b22bc023/8hig6.Lynda.Animating.in.2D.Loosening.Up.rar http://turbobit.net/tj0hr4ws4a0z/8hig6.Lynda.Animating.in.2D.Loosening.Up.rar.html

Logo Design Theory and Application Bootcamp .MP4, AVC, 2500 kbps, 1280x720 | English, AAC, 128 kbps, 2 Ch | 6h 46m | 7.49 GB Instructor: Shawn Barry This Logo Design Theory & Application Bootcamp is perfect for beginners and intermediate designers alike. Tons of practical theory, application and evaluation. This course will teach you how to cultivate a professional design workflow for logos, and any creative project. 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Login, Registration and Profile Management in PHP/MYSQL 2018 MP4 | Video: 1280x720 | Duration: 1.5 Hours | 500 MB | Project files Author: Shan Shah | Language: English | Skill level: Intermediate This course will teach you to create fully secured user login, registration, profile management, forget/reset password, email/account verification, remember me and upload avatar functionality with PHP & MYSQL 2018. The course is completely based on Project, but you'll learn each concept step by step before we implement into project. You will not only learn to build a simple login system. Course major topics includes: Login/Logout/Register/Profile Management Uploading file securely is hard concept to understand, but don't worry we are covering this in very easy way. You'll learn to implement form validation and verification. We are implementing Forget/Reset Password. Deactivate and Delete account Email verification with and without SMTP server in PHP Security testing of SQL INJECTION, XSS Important Note: This is a fast paced course, this means you will learn the topics as fast as possible without writing the code. Each topic will be cover topic by topic. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/1517201EDE656B1/cmskb.Login.Registration.and.Profile.Management.in.PHPMYSQL.2018.zip https://rapidgator.net/file/b369d6c77f46e9e70f6a53a4b1ee7786/cmskb.Login.Registration.and.Profile.Management.in.PHPMYSQL.2018.zip http://turbobit.net/hh6l1kiiq0l8/cmskb.Login.Registration.and.Profile.Management.in.PHPMYSQL.2018.zip.html

Location Lite: High-End Look, Low-Cost Budget MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour | 1.04 GB Genre: eLearning | Language: English Create a cool fashion shoot on a budget! Join Scott Kelby as he shows you how you can pull together a high-end looking fashion shoot on a low-end budget. Scott takes you step-by-step through the process of building a set, re-creating window light with a single speed light, shooting a variety of looks, and all the while sharing money saving tips and tricks that you can put to use on your next shoot. Throughout the class you'll learn resources for acquiring sets and clothing, how to prepare before the shoot, what gear you'll need, how to set the lighting, and so much more. Scott wraps up the class with a look at his streamlined post processing workflow. You don't need a large budget if you can be resourceful, clever, and creative. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/2580268F82804B0/zeyz4.Location.Lite.HighEnd.Look.LowCost.Budget.part1.rar http://nitroflare.com/view/D41CB47AFDAC013/zeyz4.Location.Lite.HighEnd.Look.LowCost.Budget.part2.rar http://nitroflare.com/view/A57E0694D6F928C/zeyz4.Location.Lite.HighEnd.Look.LowCost.Budget.part3.rar http://nitroflare.com/view/BBA1434D07B7082/zeyz4.Location.Lite.HighEnd.Look.LowCost.Budget.part4.rar https://rapidgator.net/file/4a5dc6136e1542ebcc220eec21a23e37/zeyz4.Location.Lite.HighEnd.Look.LowCost.Budget.part1.rar https://rapidgator.net/file/abeb1f1fa31e6a5d33b8172e594b50a5/zeyz4.Location.Lite.HighEnd.Look.LowCost.Budget.part2.rar https://rapidgator.net/file/21b3979d2afee4ebb1e1eb6db4885a23/zeyz4.Location.Lite.HighEnd.Look.LowCost.Budget.part3.rar https://rapidgator.net/file/d1290abb6dd65be285253a87023ec2f4/zeyz4.Location.Lite.HighEnd.Look.LowCost.Budget.part4.rar http://turbobit.net/mnj7vurnvydp/zeyz4.Location.Lite.HighEnd.Look.LowCost.Budget.part1.rar.html http://turbobit.net/cuwcih2dq28h/zeyz4.Location.Lite.HighEnd.Look.LowCost.Budget.part2.rar.html http://turbobit.net/m4cqlvk1n829/zeyz4.Location.Lite.HighEnd.Look.LowCost.Budget.part3.rar.html http://turbobit.net/95aopmwel2iw/zeyz4.Location.Lite.HighEnd.Look.LowCost.Budget.part4.rar.html

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Linux Tips and Tricks MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hours | Lec: 11 | 94 MB Genre: eLearning | Language: English Basic Linux command line interface This is a short and easy to follow crash course on Linux basics. Students who may never have cone across will be able to follow along through the dozen or so lessons which cover some of the most used Linux commands by systems administrators. All the students will need in order to perform the basic tasks is to install a basic Linux operating system in a virtual environment if they don't have access to a Linux machine. Students can install something as small as Damn Small Linux (DSL) which is free and takes very little space in a virtualbox to install. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/E269C4966B93CA1/2pmsz.Linux.Tips.and.Tricks.rar https://rapidgator.net/file/34e5c77206d5ac188cfa9a51db24d2a9/2pmsz.Linux.Tips.and.Tricks.rar http://turbobit.net/7x7yi17i1h0z/2pmsz.Linux.Tips.and.Tricks.rar.html

Linux Shell Scripting Solutions [Video] English | Size: 2.83 GB Category: Tutorial The shell remains one of the most powerful tools on a computer system yet a large number of users are unaware of how much can be accomplished with it. Using a combination of simple commands, you will see how to solve complex problems in day-to-day computer usage. This video will take you through useful real-world examples to make your daily life easy when working with the shell. It shows you how to effectively use the shell to accomplish complex tasks with ease. Starting with the basics of the shell, you will learn simple commands and their usages, allowing you to perform operations on different kinds of files. We then explain text processing and web interaction, and conclude with backups, monitoring, and other sysadmin tasks. This is an an excellent guide on solving day-to-day problems using the shell and a few powerful commands together to create solutions. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/096FD1E8F7D74B0/aue4t.Linux.Shell.Scripting.Solutions.Video.part1.rar http://nitroflare.com/view/5DA658DAD2ABCF6/aue4t.Linux.Shell.Scripting.Solutions.Video.part2.rar http://nitroflare.com/view/1AD990B63EF2905/aue4t.Linux.Shell.Scripting.Solutions.Video.part3.rar http://nitroflare.com/view/5D93B831B3371BA/aue4t.Linux.Shell.Scripting.Solutions.Video.part4.rar http://nitroflare.com/view/F681D179017BF47/aue4t.Linux.Shell.Scripting.Solutions.Video.part5.rar https://rapidgator.net/file/0c029fab4593287914d07bd5915f387d/aue4t.Linux.Shell.Scripting.Solutions.Video.part1.rar https://rapidgator.net/file/5047ed07f0102a5fafea259676a0217a/aue4t.Linux.Shell.Scripting.Solutions.Video.part2.rar https://rapidgator.net/file/a67a3fca9b66d78bc09ba76a8152825c/aue4t.Linux.Shell.Scripting.Solutions.Video.part3.rar https://rapidgator.net/file/1958336d79d4dd91af5b388818348a0c/aue4t.Linux.Shell.Scripting.Solutions.Video.part4.rar https://rapidgator.net/file/7c7622c3a8d09c8c68340908e8385d86/aue4t.Linux.Shell.Scripting.Solutions.Video.part5.rar http://turbobit.net/afdogmqe3xyk/aue4t.Linux.Shell.Scripting.Solutions.Video.part1.rar.html http://turbobit.net/fkk2a88r0lb5/aue4t.Linux.Shell.Scripting.Solutions.Video.part2.rar.html http://turbobit.net/2j64wx5xorxy/aue4t.Linux.Shell.Scripting.Solutions.Video.part3.rar.html http://turbobit.net/dg9yf9kdrq4w/aue4t.Linux.Shell.Scripting.Solutions.Video.part4.rar.html http://turbobit.net/laekej4k4lt6/aue4t.Linux.Shell.Scripting.Solutions.Video.part5.rar.html

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Linux Package Management MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 36M | Lec: 7 | 253 MB Genre: eLearning | Language: English Patching and updating Linux systems This course will involve the concept of Linux Package Manager by using real example on a Linux machine. Students will learn how to manage packages on two different flavors of Linux. Students will be able to install any of the major flavors of Linux in a Virtualbox and then configure package management. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/E98D5E348333619/9egzl.Linux.Package.Management.part1.rar http://nitroflare.com/view/E15C46EF45F2364/9egzl.Linux.Package.Management.part2.rar http://nitroflare.com/view/C0B7BC20D4714D2/9egzl.Linux.Package.Management.part3.rar https://rapidgator.net/file/137951b729d4105a48f1f5be3133aca9/9egzl.Linux.Package.Management.part1.rar https://rapidgator.net/file/404d292116e04de775196ca0ad929c74/9egzl.Linux.Package.Management.part2.rar https://rapidgator.net/file/66019e2e064be9dd81c4ac990b22cd1c/9egzl.Linux.Package.Management.part3.rar http://turbobit.net/bkpnv4id8cyx/9egzl.Linux.Package.Management.part1.rar.html http://turbobit.net/i78emprpwcde/9egzl.Linux.Package.Management.part2.rar.html http://turbobit.net/p9gm9gmzem5n/9egzl.Linux.Package.Management.part3.rar.html

Linux Debian Server Administrator Fundamentals MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | Lec: 25 | 393 MB Genre: eLearning | Language: English The training course for the future Server administrator with Linux Debian Linux is the fastest growing operating system in the world and more and more people like you want to learn from it and more if it is in a very short time. Let's be honest; Technical books are boring, and you can often take hours searching the internet for what you really care about Linux. Sure, you could learn how to work with Linux from a long-running encyclopedia, but why waste all that time and effort? Udemy's video content delivery system will allow you to operate your own Linux Operating System in just hours! If you want to increase your IT skills, this course is a great place to start. More and more companies around the world are using Linux in their day-to-day operations. So, you can not afford to stay behind! DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/C93412B0C49FE13/nyz2m.Linux.Debian.Server.Administrator.Fundamentals.part1.rar http://nitroflare.com/view/0A3BD169A5BE3A9/nyz2m.Linux.Debian.Server.Administrator.Fundamentals.part2.rar https://rapidgator.net/file/fb3deed72cfdd9941da0564e5499ca1f/nyz2m.Linux.Debian.Server.Administrator.Fundamentals.part1.rar https://rapidgator.net/file/faaedfe310e6c0c1812118de24488b6b/nyz2m.Linux.Debian.Server.Administrator.Fundamentals.part2.rar http://turbobit.net/qzrlpdwzmehz/nyz2m.Linux.Debian.Server.Administrator.Fundamentals.part1.rar.html http://turbobit.net/xf0sib6yk2uo/nyz2m.Linux.Debian.Server.Administrator.Fundamentals.part2.rar.html

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Linkedin Learning WordPress Ecommerce English | Size: 214.85 MB Category: Tutorial Want to build an online store? Build it with WordPress and take advantage of all the sophisticated plugins and rich development features the platform has to offer. To start Patrick Rauland looks at the essentials: how to get paid, calculate shipping, and calculate and charge taxes. He helps you set up a payment gateway, select a shipping method, and grasp how taxes work and how to collect them from customers. And if you weren't convinced already, Patrick reviews the benefits of WordPress ecommerce tools, as well as a selection of third-party tools that integrate beautifully with WordPress. Plus get bonus tips on marketing your new website, attracting and retaining customers, and testing and optimizing your site DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/BE9DE3CC42C1D3E/dk5st.Linkedin.Learning.WordPress.Ecommerce.rar https://rapidgator.net/file/ed911e265d97890f7f7e1b42493641bc/dk5st.Linkedin.Learning.WordPress.Ecommerce.rar http://turbobit.net/logn0gido6t5/dk5st.Linkedin.Learning.WordPress.Ecommerce.rar.html

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