Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
CSV files for ML Projects		CSV files for ML Projects
.DS_Store		.DS_Store
01 Basic Arithmetic with R.ipynb		01 Basic Arithmetic with R.ipynb
02 Variables in R.ipynb		02 Variables in R.ipynb
03 R Basic Data Types.ipynb		03 R Basic Data Types.ipynb
04 Vector Basics.ipynb		04 Vector Basics.ipynb
05 Comparison Operators.ipynb		05 Comparison Operators.ipynb
06 Vector Indexing and Slicing.ipynb		06 Vector Indexing and Slicing.ipynb
07 Section Quiz .ipynb		07 Section Quiz .ipynb
07-2 Section Quiz - Answer Sheet.ipynb		07-2 Section Quiz - Answer Sheet.ipynb
08 Introduction to R Matrices.ipynb		08 Introduction to R Matrices.ipynb
09 Matrix Arithmetic.ipynb		09 Matrix Arithmetic.ipynb
10 Matrix Operations.ipynb		10 Matrix Operations.ipynb
11 Matrix Selection and Indexing.ipynb		11 Matrix Selection and Indexing.ipynb
12 Factor and Categorical Matrices.ipynb		12 Factor and Categorical Matrices.ipynb
13 Matrix Training Exercise.ipynb		13 Matrix Training Exercise.ipynb
13-2 Matrix Training Exercise - Answer Sheet.ipynb		13-2 Matrix Training Exercise - Answer Sheet.ipynb
14 Introduction to Data Frames.ipynb		14 Introduction to Data Frames.ipynb
15 Data Frame Selection and Indexing.ipynb		15 Data Frame Selection and Indexing.ipynb
16 Data Frame Operations.ipynb		16 Data Frame Operations.ipynb
17 Data Frames Quiz.ipynb		17 Data Frames Quiz.ipynb
17-2 Data Frames Quiz - Answer Sheet.ipynb		17-2 Data Frames Quiz - Answer Sheet.ipynb
18 List Basics.ipynb		18 List Basics.ipynb
19 CSV Input and Output.ipynb		19 CSV Input and Output.ipynb
20 Excel Files with R.ipynb		20 Excel Files with R.ipynb
21 SQL with R.ipynb		21 SQL with R.ipynb
22 Scraping Data from Websites (incomplete).ipynb		22 Scraping Data from Websites (incomplete).ipynb
23 Programming with Logical Operators.ipynb		23 Programming with Logical Operators.ipynb
24 If, else, and else if Statements.ipynb		24 If, else, and else if Statements.ipynb
25 Conditional Statements Training Exercise .ipynb		25 Conditional Statements Training Exercise .ipynb
25-2 Conditional Statements Training Exercise - Answer Sheet.ipynb		25-2 Conditional Statements Training Exercise - Answer Sheet.ipynb
26 While Loops.ipynb		26 While Loops.ipynb
27 For Loops.ipynb		27 For Loops.ipynb
28 Introduction to Functions.ipynb		28 Introduction to Functions.ipynb
29 R Functions Exercises .ipynb		29 R Functions Exercises .ipynb
29-2 R Functions Exercises - Answer Sheet.ipynb		29-2 R Functions Exercises - Answer Sheet.ipynb
30 Built-in Features in R.ipynb		30 Built-in Features in R.ipynb
31 Apply.ipynb		31 Apply.ipynb
32 Math Functions with R.ipynb		32 Math Functions with R.ipynb
33 Regular Expressions.ipynb		33 Regular Expressions.ipynb
34 Dates and Timestamps.ipynb		34 Dates and Timestamps.ipynb
35 Using Dplyr.ipynb		35 Using Dplyr.ipynb
36 Using Pipe Operators .ipynb		36 Using Pipe Operators .ipynb
37 Dplyr Training Exercise.ipynb		37 Dplyr Training Exercise.ipynb
37-2 Dplyr Training Exercise - Answer Sheet.ipynb		37-2 Dplyr Training Exercise - Answer Sheet.ipynb
38 Using Tidyr.ipynb		38 Using Tidyr.ipynb
39 Overview of ggplot2.ipynb		39 Overview of ggplot2.ipynb
40 Histograms in ggplot2.ipynb		40 Histograms in ggplot2.ipynb
41 Scatterplots.ipynb		41 Scatterplots.ipynb
42 Barplots.ipynb		42 Barplots.ipynb
43 Boxplots.ipynb		43 Boxplots.ipynb
44 Plotting with Two Variables.ipynb		44 Plotting with Two Variables.ipynb
45 Coordinates and Faceting.ipynb		45 Coordinates and Faceting.ipynb
46 Themes.ipynb		46 Themes.ipynb
47 ggplot2 Training Exercise .ipynb		47 ggplot2 Training Exercise .ipynb
47-2 ggplot2 Training Exercise - Answer Sheet.ipynb		47-2 ggplot2 Training Exercise - Answer Sheet.ipynb
48 Data Visualization Projects.ipynb		48 Data Visualization Projects.ipynb
49 Interactive Visualizations with Plotly.ipynb		49 Interactive Visualizations with Plotly.ipynb
50 Capstone Data Project.ipynb		50 Capstone Data Project.ipynb
50-2 Capstone Data Project - Answer Sheet.ipynb		50-2 Capstone Data Project - Answer Sheet.ipynb
51 Introduction to Machine Learning.ipynb		51 Introduction to Machine Learning.ipynb
52 Introduction to Linear Regression.ipynb		52 Introduction to Linear Regression.ipynb
53 Linear Regression Project .ipynb		53 Linear Regression Project .ipynb
53-2 Linear Regression Project - Answer Sheet.ipynb		53-2 Linear Regression Project - Answer Sheet.ipynb
54 Introduction to Logistic Regresssion.ipynb		54 Introduction to Logistic Regresssion.ipynb
55 Logistic Regression Exercise.ipynb		55 Logistic Regression Exercise.ipynb
56 K-Nearest Neighbors.ipynb		56 K-Nearest Neighbors.ipynb
57 KNN Project.ipynb		57 KNN Project.ipynb
58 Decision Trees and Random Forests with R.ipynb		58 Decision Trees and Random Forests with R.ipynb
59 Tree Methods Project.ipynb		59 Tree Methods Project.ipynb
60 Support Vector Machines .ipynb		60 Support Vector Machines .ipynb
61 Support Vector Machines Project.ipynb		61 Support Vector Machines Project.ipynb
62 K Means Clustering.ipynb		62 K Means Clustering.ipynb
63 K Means Clustering Project.ipynb		63 K Means Clustering Project.ipynb
64 Natural Language Processing (No Token).ipynb		64 Natural Language Processing (No Token).ipynb
65 Neural Networks and Reinforcement Learning.ipynb		65 Neural Networks and Reinforcement Learning.ipynb
66 Neural Network Project.ipynb		66 Neural Network Project.ipynb
README.md		README.md

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Understanding the basics of R

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