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种子名称： [FreeTutorials.Us] data-science-and-machine-learning-bootcamp-with-r
文件类型： 视频
文件数目： 119个文件
文件大小： 2.77 GB
收录时间： 2018-2-15 14:49
已经下载： 3次
资源热度： 108
最近下载： 2024-8-16 03:16

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[FreeTutorials.Us] data-science-and-machine-learning-bootcamp-with-r.torrent

01 Course Introduction/001 Introduction to Course.mp417.35MB

01 Course Introduction/002 Course Curriculum.mp46.72MB

01 Course Introduction/003 What is Data Science.mp47.79MB

03 Windows Installation Set-Up/007 Windows Installation Procedure.mp424.52MB

04 Mac OS Installation Set-Up/008 Mac OS Installation Procedure.mp471.46MB

06 Development Environment Overview/010 Development Environment Overview.mp41.11MB

06 Development Environment Overview/011 Course Notes.mp431.05MB

06 Development Environment Overview/012 Guide to RStudio.mp435.05MB

07 Introduction to R Basics/013 Introduction to R Basics.mp46.44MB

07 Introduction to R Basics/014 Arithmetic in R.mp48.48MB

07 Introduction to R Basics/015 Variables.mp49.9MB

07 Introduction to R Basics/016 R Basic Data Types.mp49.93MB

07 Introduction to R Basics/017 Vector Basics.mp415.26MB

07 Introduction to R Basics/018 Vector Operations.mp48.43MB

07 Introduction to R Basics/019 Vector Indexing and Slicing.mp417.89MB

07 Introduction to R Basics/020 Getting Help with R and RStudio.mp46.8MB

07 Introduction to R Basics/021 Comparison Operators.mp411.84MB

07 Introduction to R Basics/022 R Basics Training Exercise.mp46.52MB

07 Introduction to R Basics/023 R Basics Training Exercise - Solutions Walkthrough.mp414.74MB

08 R Matrices/024 Introduction to R Matrices.mp41.61MB

08 R Matrices/025 Creating a Matrix.mp421.24MB

08 R Matrices/026 Matrix Arithmetic.mp48.84MB

08 R Matrices/027 Matrix Operations.mp412.83MB

08 R Matrices/028 Matrix Selection and Indexing.mp413.31MB

08 R Matrices/029 Factor and Categorical Matrices.mp417MB

08 R Matrices/030 Matrix Training Exercise.mp43.84MB

08 R Matrices/031 Matrix Training Exercises - Solutions Walkthrough.mp428.09MB

09 R Data Frames/032 Introduction to R Data Frames.mp41.49MB

09 R Data Frames/033 Data Frame Basics.mp421.45MB

09 R Data Frames/034 Data Frame Indexing and Selection.mp419.01MB

09 R Data Frames/035 Overview of Data Frame Operations - Part 1.mp434.58MB

09 R Data Frames/036 Overview of Data Frame Operations - Part 2.mp438.91MB

09 R Data Frames/037 Data Frame Training Exercise.mp44.98MB

09 R Data Frames/038 Data Frame Training Exercises - Solutions Walkthrough.mp434.06MB

10 R Lists/039 List Basics.mp421.9MB

11 Data Input and Output with R/040 Introduction to Data Input and Output with R.mp41MB

11 Data Input and Output with R/041 CSV Files with R.mp414.06MB

11 Data Input and Output with R/042 Excel Files with R.mp427.69MB

11 Data Input and Output with R/043 SQL with R.mp433.44MB

11 Data Input and Output with R/044 Web Scraping with R.mp422.79MB

12 R Programming Basics/045 Introduction to Programming Basics.mp41.88MB

12 R Programming Basics/046 Logical Operators.mp416.18MB

12 R Programming Basics/047 if else and else if Statements.mp429.16MB

12 R Programming Basics/048 Conditional Statements Training Exercise.mp44.34MB

12 R Programming Basics/049 Conditional Statements Training Exercise - Solutions Walkthrough.mp424.19MB

12 R Programming Basics/050 While Loops.mp413.54MB

12 R Programming Basics/051 For Loops.mp426.55MB

12 R Programming Basics/052 Functions.mp440.63MB

12 R Programming Basics/053 Functions Training Exercise.mp48.56MB

12 R Programming Basics/054 Functions Training Exercise - Solutions.mp443.38MB

13 Advanced R Programming/055 Introduction to Advanced R Programming.mp41.79MB

13 Advanced R Programming/056 Built-in R Features.mp420.4MB

13 Advanced R Programming/057 Apply.mp431.4MB

13 Advanced R Programming/058 Math Functions with R.mp412.96MB

13 Advanced R Programming/059 Regular Expressions.mp411.02MB

13 Advanced R Programming/060 Dates and Timestamps.mp427.84MB

14 Data Manipulation with R/061 Data Manipulation Overview.mp41.25MB

14 Data Manipulation with R/062 Guide to Using Dplyr.mp429.43MB

14 Data Manipulation with R/063 Guide to Using Dplyr - Part 2.mp424.15MB

14 Data Manipulation with R/064 Pipe Operator.mp416.62MB

14 Data Manipulation with R/066 Dplyr Training Exercise.mp43.09MB

14 Data Manipulation with R/067 Dplyr Training Exercise - Solutions Walkthrough.mp415.63MB

14 Data Manipulation with R/068 Guide to Using Tidyr.mp457.72MB

15 Data Visualization with R/069 Overview of ggplot2.mp413.33MB

15 Data Visualization with R/070 Histograms.mp456.95MB

15 Data Visualization with R/071 Scatterplots.mp445.18MB

15 Data Visualization with R/072 Barplots.mp419.96MB

15 Data Visualization with R/073 Boxplots.mp416.69MB

15 Data Visualization with R/074 2 Variable Plotting.mp424.74MB

15 Data Visualization with R/075 Coordinates and Faceting.mp428.04MB

15 Data Visualization with R/076 Themes.mp413.36MB

15 Data Visualization with R/077 ggplot2 Exercises.mp48.31MB

15 Data Visualization with R/078 ggplot2 Exercise Solutions.mp430.52MB

16 Data Visualization Project/079 Data Visualization Project.mp415.24MB

16 Data Visualization Project/080 Data Visualization Project - Solutions Walkthrough - Part 1.mp442.01MB

16 Data Visualization Project/081 Data Visualization Project Solutions Walkthrough - Part 2.mp441.46MB

17 Interactive Visualizations with Plotly/082 Overview of Plotly and Interactive Visualizations.mp442.51MB

18 Capstone Data Project/084 Introduction to Capstone Project.mp445.51MB

18 Capstone Data Project/085 Capstone Project Solutions Walkthrough.mp463.28MB

19 Introduction to Machine Learning with R/087 Introduction to Machine Learning.mp459.74MB

20 Machine Learning with R - Linear Regression/088 Introduction to Linear Regression.mp411.55MB

20 Machine Learning with R - Linear Regression/089 Linear Regression with R - Part 1.mp455.6MB

20 Machine Learning with R - Linear Regression/090 Linear Regression with R - Part 2.mp453.98MB

20 Machine Learning with R - Linear Regression/091 Linear Regression with R - Part 3.mp426.3MB

21 Machine Learning Project - Linear Regression/092 Introduction to Linear Regression Project.mp446.5MB

21 Machine Learning Project - Linear Regression/093 ML - Linear Regression Project - Solutions Part 1.mp459.53MB

21 Machine Learning Project - Linear Regression/094 ML - Linear Regression Project - Solutions Part 2.mp432.72MB

22 Machine Learning with R - Logistic Regression/095 Introduction to Logistic Regression.mp421.91MB

22 Machine Learning with R - Logistic Regression/096 Logistic Regression with R - Part 1.mp446.33MB

22 Machine Learning with R - Logistic Regression/097 Logistic Regression with R - Part 2.mp447.56MB

23 Machine Learning Project - Logistic Regression/098 Introduction to Logistic Regression Project.mp413.38MB

23 Machine Learning Project - Logistic Regression/099 Logistic Regression Project Solutions - Part 1.mp456.27MB

23 Machine Learning Project - Logistic Regression/100 Logistic Regression Project Solutions - Part 2.mp438.63MB

23 Machine Learning Project - Logistic Regression/101 Logistic Regression Project - Solutions Part 3.mp437.63MB

24 Machine Learning with R - K Nearest Neighbors/102 Introduction to K Nearest Neighbors.mp49.27MB

24 Machine Learning with R - K Nearest Neighbors/103 K Nearest Neighbors with R.mp446.73MB

25 Machine Learning Project - K Nearest Neighbors/104 Introduction K Nearest Neighbors Project.mp414.69MB

25 Machine Learning Project - K Nearest Neighbors/105 K Nearest Neighbors Project Solutions.mp430.41MB

26 Machine Learning with R - Decision Trees and Random Forests/106 Introduction to Tree Methods.mp412.48MB

26 Machine Learning with R - Decision Trees and Random Forests/107 Decision Trees and Random Forests with R.mp434.4MB

27 Machine Learning Project - Decision Trees and Random Forests/108 Introduction to Decision Trees and Random Forests Project.mp410.15MB

27 Machine Learning Project - Decision Trees and Random Forests/109 Tree Methods Project Solutions - Part 1.mp438.85MB

27 Machine Learning Project - Decision Trees and Random Forests/110 Tree Methods Project Solutions - Part 2.mp410.48MB

28 Machine Learning with R - Support Vector Machines/111 Introduction to Support Vector Machines.mp48.96MB

28 Machine Learning with R - Support Vector Machines/112 Support Vector Machines with R.mp439.56MB

29 Machine Learning Project - Support Vector Machines/113 Introduction to SVM Project.mp411.5MB

29 Machine Learning Project - Support Vector Machines/114 Support Vector Machines Project - Solutions Part 1.mp428.49MB

29 Machine Learning Project - Support Vector Machines/115 Support Vector Machines Project - Solutions Part 2.mp424.3MB

30 Machine Learning with R - K-means Clustering/116 Introduction to K-Means Clustering.mp49.57MB

30 Machine Learning with R - K-means Clustering/117 K Means Clustering with R.mp422.53MB

31 Machine Learning Project - K-means Clustering/118 Introduction to K Means Clustering Project.mp48.81MB

31 Machine Learning Project - K-means Clustering/119 K Means Clustering Project - Solutions Walkthrough.mp438.21MB

32 Machine Learning with R - Natural Language Processing/120 Introduction to Natural Language Processing.mp48.3MB

32 Machine Learning with R - Natural Language Processing/121 Natural Language Processing with R - Part 1.mp412.61MB

32 Machine Learning with R - Natural Language Processing/122 Natural Language Processing with R - Part 2.mp442.84MB

33 Machine Learning with R - Neural Nets/123 Introduction to Neural Nets.mp412.64MB

33 Machine Learning with R - Neural Nets/124 Neural Nets with R.mp454.76MB

34 Machine Learning Project - Neural Nets/125 Introduction to Neural Nets Project.mp411.08MB

34 Machine Learning Project - Neural Nets/126 Neural Nets Project - Solutions.mp425.52MB