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FreeTutorials Us data science and machine learning bootcamp with

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

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Total Size

3.1 GB

Total Files

133

Hash

B41979B7F3E11A76A81058FC1398AA7555E09E11

/01 Course Introduction/

001 Introduction to Course.mp4

18.2 MB

002 Course Curriculum.mp4

7.0 MB

003 What is Data Science.mp4

8.2 MB

004 Course FAQ.html

1.6 KB

/.../004 Course FAQ/

R-Course-HTML-Notes.zip

47.8 MB

/02 Course Best Practices/

005 How to Get Help in the Course.html

2.3 KB

006 Installation and Set-Up.html

0.6 KB

/quizzes/

001 Welcome to the Course..html

2.7 KB

/03 Windows Installation Set-Up/

007 Windows Installation Procedure.mp4

25.7 MB

/04 Mac OS Installation Set-Up/

008 Mac OS Installation Procedure.mp4

74.9 MB

/05 Linux Installation/

009 LinuxUnbuntu Installation Procedure.html

1.8 KB

/06 Development Environment Overview/

010 Development Environment Overview.mp4

1.2 MB

011 Course Notes.mp4

32.6 MB

012 Guide to RStudio.mp4

36.8 MB

/.../011 Course Notes/

R-Course-HTML-Notes.zip

47.8 MB

/07 Introduction to R Basics/

013 Introduction to R Basics.mp4

6.8 MB

014 Arithmetic in R.mp4

8.9 MB

015 Variables.mp4

10.4 MB

016 R Basic Data Types.mp4

10.4 MB

017 Vector Basics.mp4

16.0 MB

018 Vector Operations.mp4

8.8 MB

019 Vector Indexing and Slicing.mp4

18.8 MB

020 Getting Help with R and RStudio.mp4

7.1 MB

021 Comparison Operators.mp4

12.4 MB

022 R Basics Training Exercise.mp4

6.8 MB

023 R Basics Training Exercise - Solutions Walkthrough.mp4

15.5 MB

/08 R Matrices/

024 Introduction to R Matrices.mp4

1.7 MB

025 Creating a Matrix.mp4

22.3 MB

026 Matrix Arithmetic.mp4

9.3 MB

027 Matrix Operations.mp4

13.5 MB

028 Matrix Selection and Indexing.mp4

14.0 MB

029 Factor and Categorical Matrices.mp4

17.8 MB

030 Matrix Training Exercise.mp4

4.0 MB

031 Matrix Training Exercises - Solutions Walkthrough.mp4

29.5 MB

/09 R Data Frames/

032 Introduction to R Data Frames.mp4

1.6 MB

033 Data Frame Basics.mp4

22.5 MB

034 Data Frame Indexing and Selection.mp4

19.9 MB

035 Overview of Data Frame Operations - Part 1.mp4

36.3 MB

036 Overview of Data Frame Operations - Part 2.mp4

40.8 MB

037 Data Frame Training Exercise.mp4

5.2 MB

038 Data Frame Training Exercises - Solutions Walkthrough.mp4

35.7 MB

/10 R Lists/

039 List Basics.mp4

23.0 MB

/11 Data Input and Output with R/

040 Introduction to Data Input and Output with R.mp4

1.1 MB

041 CSV Files with R.mp4

14.7 MB

042 Excel Files with R.mp4

29.0 MB

043 SQL with R.mp4

35.1 MB

044 Web Scraping with R.mp4

23.9 MB

/12 R Programming Basics/

045 Introduction to Programming Basics.mp4

2.0 MB

046 Logical Operators.mp4

17.0 MB

047 if else and else if Statements.mp4

30.6 MB

048 Conditional Statements Training Exercise.mp4

4.6 MB

049 Conditional Statements Training Exercise - Solutions Walkthrough.mp4

25.4 MB

050 While Loops.mp4

14.2 MB

051 For Loops.mp4

27.8 MB

052 Functions.mp4

42.6 MB

053 Functions Training Exercise.mp4

9.0 MB

054 Functions Training Exercise - Solutions.mp4

45.5 MB

/13 Advanced R Programming/

055 Introduction to Advanced R Programming.mp4

1.9 MB

056 Built-in R Features.mp4

21.4 MB

057 Apply.mp4

32.9 MB

058 Math Functions with R.mp4

13.6 MB

059 Regular Expressions.mp4

11.6 MB

060 Dates and Timestamps.mp4

29.2 MB

/14 Data Manipulation with R/

061 Data Manipulation Overview.mp4

1.3 MB

062 Guide to Using Dplyr.mp4

30.9 MB

063 Guide to Using Dplyr - Part 2.mp4

25.3 MB

064 Pipe Operator.mp4

17.4 MB

065 Quick note on Dpylr exercise.html

0.6 KB

066 Dplyr Training Exercise.mp4

3.2 MB

067 Dplyr Training Exercise - Solutions Walkthrough.mp4

16.4 MB

068 Guide to Using Tidyr.mp4

60.5 MB

/15 Data Visualization with R/

069 Overview of ggplot2.mp4

14.0 MB

070 Histograms.mp4

59.7 MB

071 Scatterplots.mp4

47.4 MB

072 Barplots.mp4

20.9 MB

073 Boxplots.mp4

17.5 MB

074 2 Variable Plotting.mp4

25.9 MB

075 Coordinates and Faceting.mp4

29.4 MB

076 Themes.mp4

14.0 MB

077 ggplot2 Exercises.mp4

8.7 MB

078 ggplot2 Exercise Solutions.mp4

32.0 MB

/16 Data Visualization Project/

079 Data Visualization Project.mp4

16.0 MB

080 Data Visualization Project - Solutions Walkthrough - Part 1.mp4

44.0 MB

081 Data Visualization Project Solutions Walkthrough - Part 2.mp4

43.5 MB

/17 Interactive Visualizations with Plotly/

082 Overview of Plotly and Interactive Visualizations.mp4

44.6 MB

083 Resources for Plotly and ggplot2.html

1.3 KB

/18 Capstone Data Project/

084 Introduction to Capstone Project.mp4

47.7 MB

085 Capstone Project Solutions Walkthrough.mp4

66.4 MB

/19 Introduction to Machine Learning with R/

086 ISLR PDF.html

0.7 KB

087 Introduction to Machine Learning.mp4

62.6 MB

/.../087 Introduction to Machine Learning/

Machine-Learning-Slides.zip

3.0 MB

/20 Machine Learning with R - Linear Regression/

088 Introduction to Linear Regression.mp4

12.1 MB

089 Linear Regression with R - Part 1.mp4

58.3 MB

090 Linear Regression with R - Part 2.mp4

56.6 MB

091 Linear Regression with R - Part 3.mp4

27.6 MB

/21 Machine Learning Project - Linear Regression/

092 Introduction to Linear Regression Project.mp4

48.8 MB

093 ML - Linear Regression Project - Solutions Part 1.mp4

62.4 MB

094 ML - Linear Regression Project - Solutions Part 2.mp4

34.3 MB

/22 Machine Learning with R - Logistic Regression/

095 Introduction to Logistic Regression.mp4

23.0 MB

096 Logistic Regression with R - Part 1.mp4

48.6 MB

097 Logistic Regression with R - Part 2.mp4

49.9 MB

/23 Machine Learning Project - Logistic Regression/

098 Introduction to Logistic Regression Project.mp4

14.0 MB

099 Logistic Regression Project Solutions - Part 1.mp4

59.0 MB

100 Logistic Regression Project Solutions - Part 2.mp4

40.5 MB

101 Logistic Regression Project - Solutions Part 3.mp4

39.5 MB

/24 Machine Learning with R - K Nearest Neighbors/

102 Introduction to K Nearest Neighbors.mp4

9.7 MB

103 K Nearest Neighbors with R.mp4

49.0 MB

/25 Machine Learning Project - K Nearest Neighbors/

104 Introduction K Nearest Neighbors Project.mp4

15.4 MB

105 K Nearest Neighbors Project Solutions.mp4

31.9 MB

/26 Machine Learning with R - Decision Trees and Random Forests/

106 Introduction to Tree Methods.mp4

13.1 MB

107 Decision Trees and Random Forests with R.mp4

36.1 MB

/27 Machine Learning Project - Decision Trees and Random Forests/

108 Introduction to Decision Trees and Random Forests Project.mp4

10.6 MB

109 Tree Methods Project Solutions - Part 1.mp4

40.7 MB

110 Tree Methods Project Solutions - Part 2.mp4

11.0 MB

/28 Machine Learning with R - Support Vector Machines/

111 Introduction to Support Vector Machines.mp4

9.4 MB

112 Support Vector Machines with R.mp4

41.5 MB

/29 Machine Learning Project - Support Vector Machines/

113 Introduction to SVM Project.mp4

12.1 MB

114 Support Vector Machines Project - Solutions Part 1.mp4

29.9 MB

115 Support Vector Machines Project - Solutions Part 2.mp4

25.5 MB

/30 Machine Learning with R - K-means Clustering/

116 Introduction to K-Means Clustering.mp4

10.0 MB

117 K Means Clustering with R.mp4

23.6 MB

/31 Machine Learning Project - K-means Clustering/

118 Introduction to K Means Clustering Project.mp4

9.2 MB

119 K Means Clustering Project - Solutions Walkthrough.mp4

40.1 MB

/32 Machine Learning with R - Natural Language Processing/

120 Introduction to Natural Language Processing.mp4

8.7 MB

121 Natural Language Processing with R - Part 1.mp4

13.2 MB

122 Natural Language Processing with R - Part 2.mp4

44.9 MB

/33 Machine Learning with R - Neural Nets/

123 Introduction to Neural Nets.mp4

13.3 MB

124 Neural Nets with R.mp4

57.4 MB

/34 Machine Learning Project - Neural Nets/

125 Introduction to Neural Nets Project.mp4

11.6 MB

126 Neural Nets Project - Solutions.mp4

26.8 MB

/35 Bonus Section - Discounts for Other Courses/

127 Bonus Discount Coupons.html

1.7 KB

/

Freetutorials.us.url

0.1 KB

[FreeTutorials.us].txt

0.1 KB

 

Total files 133


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