oaxino Posted April 10 Report Share Posted April 10 Data Science With Julia (Part I)Published 4/2024MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 2.00 GB | Duration: 5h 6mBest programming language for data analysis, data science and machine learningWhat you'll learnHaving a strong grasp of data frames in JuliaImporting data with JuliaAnalyzing and manipulating data with JuliaData visualization with JuliaRequirementsI did my best to make this course self-contained, but still I strongly recommend studying the basics of Julia before enrolling. You can take my 'Programming with Julia' course or explore any other online training or book that suits your preferences.DescriptionDo you want to learn data analysis, data science, machine learning, deep learning, and AI, but you are not sure about the programming language to choose? Or perhaps you are using Python and R, but you are tired of their slow performance.You can accomplish everything, and even more, with Julia compared to what you can do with Python or R, all with the same level of ease. Moreover, Julia offers significantly greater speed than both of them.Julia is a modern programming language developed for data science, machine learning, AI, and numerical computing. It is a dynamically typed language that is easy to learn and use and moreover has the speed of C.Julia combines the best features of dynamic languages like Python and R with low-level languages like C, C#, and Java. You can develop a machine learning model or an algorithm in Julia and use that code in a production environment. You don't have to use different languages for development and production.This is my second course about Julia. In this course, you will learn how to accomplish essential data science tasks with Julia: importing, analyzing, manipulating, and visualizing data. Having these foundations you will be ready for machine learning and deep learning with Julia which will be in my upcoming lectures. Please stay tuned.OverviewSection 1: IntroductionLecture 1 Why use Julia for Data Science?Lecture 2 Two-Language ProblemLecture 3 Julia is Fast: Why Does it Matter?Lecture 4 Is Julia Really Fast?Lecture 5 Julia Data EcosystemLecture 6 Codes and ResourcesSection 2: Working with Data FramesLecture 7 Creating Data FramesLecture 8 Indexing and Slicing Data FramesLecture 9 Conditional FilteringLecture 10 Selecting and Transforming Columns ILecture 11 Selecting and Transforming Columns IILecture 12 Summarizing Data with Split Apply Combine StrategyLecture 13 Joining Data FramesLecture 14 DataFrames: Additional ResourcesSection 3: Importing DataLecture 15 IntroductionLecture 16 Flat FilesLecture 17 Delimited FilesLecture 18 SpreadsheetsLecture 19 HDF5 FilesLecture 20 JSON FilesLecture 21 XML FilesLecture 22 Relational DatabasesLecture 23 Statistical ProgramsLecture 24 Web ScrapingSection 4: Data Analysis & ManipulationLecture 25 IntroductionLecture 26 Project DescriptionLecture 27 Import Project DataLecture 28 Remove DuplicatesLecture 29 Merge Input & Output DataLecture 30 Summarize DataLecture 31 Nonnumerical DataLecture 32 Missing DataLecture 33 OutliersLecture 34 Standardization & ScalingLecture 35 Correlation AnalysisLecture 36 Creating Categorical Variables from Numbers (Optional)Section 5: Data VisualizationLecture 37 IntroductionLecture 38 Preparing DataLecture 39 Line PlotLecture 40 Scatter PlotLecture 41 Bar PlotLecture 42 HistogramLecture 43 Box, Dot, Violin PlotsLecture 44 Three Dimensional PlotsLecture 45 Interactive StatsplotLecture 46 Makie PackageLecture 47 Dashboards with MakieLecture 48 ObservablesLecture 49 Interactive Dashboards with MakieYou may be an adept data scientist well-versed in Python or R, or you might be embarking on your learning journey, grappling with the choice of a programming language. I will try to convince you that, you can accomplish everything, and even more, with Julia compared to what you can do with Python or R, all with the same level of ease. Moreover, Julia offers significantly greater speed than both of them.Screenshotsrapidgator.net:https://rapidgator.net/file/a64c3c1ee6347f81e60ef1191a2054a1/cencr.Data.Science.With.Julia.Part.I.part1.rar.htmlhttps://rapidgator.net/file/7d63b2d32ad1b81a1a3f88f7e027f28b/cencr.Data.Science.With.Julia.Part.I.part2.rar.htmlhttps://rapidgator.net/file/8782c791e3744bb8b0325f323d890237/cencr.Data.Science.With.Julia.Part.I.part3.rar.htmlnitroflare.com:https://nitroflare.com/view/283E85EDBF81875/cencr.Data.Science.With.Julia.Part.I.part1.rarhttps://nitroflare.com/view/609A57B3899C80B/cencr.Data.Science.With.Julia.Part.I.part2.rarhttps://nitroflare.com/view/32B6841E0AE68FA/cencr.Data.Science.With.Julia.Part.I.part3.rar Link to comment Share on other sites More sharing options...
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