FreeCourseSite com Udemy Data Science and Machine Learning Bootcamp with

FreeCourseSite com Udemy Data Science and Machine Learning Bootcamp with

Name	[FreeCourseSite.com] Udemy - Data Science and Machine Learning Bootcamp with R	DOWNLOAD Copy Link
Total Size	3.1 GB
Total Files	255
Hash	891DF927A6797B86ECCDF1DABD4735DC1966A385

/0. Websites you may like/
[CourseClub.ME].url	0.1 KB
[FCS Forum].url	0.1 KB
[FreeCourseSite.com].url	0.1 KB
/1. Course Introduction/
1. Introduction to Course.mp4	18.2 MB
1. Introduction to Course.srt	4.0 KB
2. Course Curriculum.mp4	7.0 MB
2. Course Curriculum.srt	3.5 KB
3. What is Data Science.mp4	8.2 MB
3. What is Data Science.srt	5.9 KB
4. Course FAQ.html	1.3 KB
4.1 R-Course-HTML-Notes.zip	47.8 MB
/10. R Lists/
1. List Basics.mp4	23.0 MB
1. List Basics.srt	13.1 KB
/11. Data Input and Output with R/
1. Introduction to Data Input and Output with R.mp4	1.1 MB
1. Introduction to Data Input and Output with R.srt	0.5 KB
2. CSV Files with R.mp4	14.7 MB
2. CSV Files with R.srt	9.5 KB
3. Note on R with Excel Download.html	1.9 KB
4. Excel Files with R.mp4	29.0 MB
4. Excel Files with R.srt	18.0 KB
5. SQL with R.mp4	35.1 MB
5. SQL with R.srt	16.4 KB
6. Web Scraping with R.mp4	23.9 MB
6. Web Scraping with R.srt	10.6 KB
/12. R Programming Basics/
1. Introduction to Programming Basics.mp4	2.0 MB
1. Introduction to Programming Basics.srt	1.6 KB
10. Functions Training Exercise - Solutions.mp4	45.5 MB
10. Functions Training Exercise - Solutions.srt	29.2 KB
2. Logical Operators.mp4	17.0 MB
2. Logical Operators.srt	11.6 KB
3. if, else, and else if Statements.mp4	30.6 MB
3. if, else, and else if Statements.srt	20.3 KB
4. Conditional Statements Training Exercise.mp4	4.6 MB
4. Conditional Statements Training Exercise.srt	2.6 KB
5. Conditional Statements Training Exercise - Solutions Walkthrough.mp4	25.4 MB
5. Conditional Statements Training Exercise - Solutions Walkthrough.srt	17.8 KB
6. While Loops.mp4	14.2 MB
6. While Loops.srt	10.6 KB
7. For Loops.mp4	27.8 MB
7. For Loops.srt	18.5 KB
8. Functions.mp4	42.6 MB
8. Functions.srt	26.8 KB
9. Functions Training Exercise.mp4	9.0 MB
9. Functions Training Exercise.srt	4.0 KB
/13. Advanced R Programming/
1. Introduction to Advanced R Programming.mp4	1.9 MB
1. Introduction to Advanced R Programming.srt	1.6 KB
2. Built-in R Features.mp4	21.4 MB
2. Built-in R Features.srt	12.8 KB
3. Apply.mp4	32.9 MB
3. Apply.srt	20.6 KB
4. Math Functions with R.mp4	13.6 MB
4. Math Functions with R.srt	5.0 KB
5. Regular Expressions.mp4	11.6 MB
5. Regular Expressions.srt	7.0 KB
6. Dates and Timestamps.mp4	29.2 MB
6. Dates and Timestamps.srt	16.9 KB
/14. Data Manipulation with R/
1. Data Manipulation Overview.mp4	1.3 MB
1. Data Manipulation Overview.srt	1.0 KB
2. Guide to Using Dplyr.mp4	30.9 MB
2. Guide to Using Dplyr.srt	18.3 KB
3. Guide to Using Dplyr - Part 2.mp4	25.3 MB
3. Guide to Using Dplyr - Part 2.srt	14.5 KB
4. Pipe Operator.mp4	17.4 MB
4. Pipe Operator.srt	9.5 KB
5. Quick note on Dpylr exercise.html	0.3 KB
6. Dplyr Training Exercise.mp4	3.2 MB
6. Dplyr Training Exercise.srt	2.0 KB
7. Dplyr Training Exercise - Solutions Walkthrough.mp4	16.4 MB
7. Dplyr Training Exercise - Solutions Walkthrough.srt	10.1 KB
8. Guide to Using Tidyr.mp4	60.5 MB
8. Guide to Using Tidyr.srt	28.4 KB
/15. Data Visualization with R/
1. Overview of ggplot2.mp4	14.0 MB
1. Overview of ggplot2.srt	10.5 KB
10. ggplot2 Exercise Solutions.mp4	32.0 MB
10. ggplot2 Exercise Solutions.srt	19.7 KB
2. Histograms.mp4	59.7 MB
2. Histograms.srt	28.6 KB
3. Scatterplots.mp4	47.4 MB
3. Scatterplots.srt	24.4 KB
4. Barplots.mp4	20.9 MB
4. Barplots.srt	11.8 KB
5. Boxplots.mp4	17.5 MB
5. Boxplots.srt	11.0 KB
6. 2 Variable Plotting.mp4	25.9 MB
6. 2 Variable Plotting.srt	10.6 KB
7. Coordinates and Faceting.mp4	29.4 MB
7. Coordinates and Faceting.srt	14.4 KB
8. Themes.mp4	14.0 MB
8. Themes.srt	7.9 KB
9. ggplot2 Exercises.mp4	8.7 MB
9. ggplot2 Exercises.srt	4.7 KB
/16. Data Visualization Project/
1. Data Visualization Project.mp4	16.0 MB
1. Data Visualization Project.srt	4.8 KB
2. Data Visualization Project - Solutions Walkthrough - Part 1.mp4	44.1 MB
2. Data Visualization Project - Solutions Walkthrough - Part 1.srt	16.9 KB
3. Data Visualization Project Solutions Walkthrough - Part 2.mp4	43.5 MB
3. Data Visualization Project Solutions Walkthrough - Part 2.srt	16.7 KB
/17. Interactive Visualizations with Plotly/
1. Overview of Plotly and Interactive Visualizations.mp4	44.6 MB
1. Overview of Plotly and Interactive Visualizations.srt	13.4 KB
2. Resources for Plotly and ggplot2.html	1.0 KB
/18. Capstone Data Project/
1. Introduction to Capstone Project.mp4	47.7 MB
1. Introduction to Capstone Project.srt	13.0 KB
2. Capstone Project Solutions Walkthrough.mp4	66.4 MB
2. Capstone Project Solutions Walkthrough.srt	30.3 KB
/19. Introduction to Machine Learning with R/
1. ISLR PDF.html	0.4 KB
2. Introduction to Machine Learning.mp4	62.6 MB
2. Introduction to Machine Learning.srt	27.7 KB
2.1 Machine Learning Slides.zip	3.0 MB
/2. Course Best Practices/
1. How to Get Help in the Course!.html	2.0 KB
2. Welcome to the Course..html	0.2 KB
3. Installation and Set-Up.html	0.3 KB
/20. Machine Learning with R - Linear Regression/
1. Introduction to Linear Regression.mp4	12.1 MB
1. Introduction to Linear Regression.srt	8.3 KB
2. Linear Regression with R - Part 1.mp4	58.3 MB
2. Linear Regression with R - Part 1.srt	28.9 KB
3. Linear Regression with R - Part 2.mp4	56.6 MB
3. Linear Regression with R - Part 2.srt	30.6 KB
4. Linear Regression with R - Part 3.mp4	27.6 MB
4. Linear Regression with R - Part 3.srt	16.0 KB
/21. Machine Learning Project - Linear Regression/
1. Introduction to Linear Regression Project.mp4	48.8 MB
1. Introduction to Linear Regression Project.srt	14.3 KB
2. ML - Linear Regression Project - Solutions Part 1.mp4	62.4 MB
2. ML - Linear Regression Project - Solutions Part 1.srt	30.0 KB
3. ML - Linear Regression Project - Solutions Part 2.mp4	34.3 MB
3. ML - Linear Regression Project - Solutions Part 2.srt	15.5 KB
/22. Machine Learning with R - Logistic Regression/
1. Introduction to Logistic Regression.mp4	23.0 MB
1. Introduction to Logistic Regression.srt	17.4 KB
2. Logistic Regression with R - Part 1.mp4	48.6 MB
2. Logistic Regression with R - Part 1.srt	28.6 KB
3. Logistic Regression with R - Part 2.mp4	49.9 MB
3. Logistic Regression with R - Part 2.srt	25.5 KB
/23. Machine Learning Project - Logistic Regression/
1. Introduction to Logistic Regression Project.mp4	14.0 MB
1. Introduction to Logistic Regression Project.srt	2.9 KB
2. Logistic Regression Project Solutions - Part 1.mp4	59.0 MB
2. Logistic Regression Project Solutions - Part 1.srt	28.4 KB
3. Logistic Regression Project Solutions - Part 2.mp4	40.5 MB
3. Logistic Regression Project Solutions - Part 2.srt	22.3 KB
4. Logistic Regression Project - Solutions Part 3.mp4	39.5 MB
4. Logistic Regression Project - Solutions Part 3.srt	19.7 KB
/24. Machine Learning with R - K Nearest Neighbors/
1. Introduction to K Nearest Neighbors.mp4	9.7 MB
1. Introduction to K Nearest Neighbors.srt	7.3 KB
2. K Nearest Neighbors with R.mp4	49.0 MB
2. K Nearest Neighbors with R.srt	25.9 KB
/25. Machine Learning Project - K Nearest Neighbors/
1. Introduction K Nearest Neighbors Project.mp4	15.4 MB
1. Introduction K Nearest Neighbors Project.srt	5.4 KB
2. K Nearest Neighbors Project Solutions.mp4	31.9 MB
2. K Nearest Neighbors Project Solutions.srt	13.8 KB
/26. Machine Learning with R - Decision Trees and Random Forests/
1. Introduction to Tree Methods.mp4	13.1 MB
1. Introduction to Tree Methods.srt	9.5 KB
2. Decision Trees and Random Forests with R.mp4	36.1 MB
2. Decision Trees and Random Forests with R.srt	17.5 KB
/27. Machine Learning Project - Decision Trees and Random Forests/
1. Introduction to Decision Trees and Random Forests Project.mp4	10.7 MB
1. Introduction to Decision Trees and Random Forests Project.srt	2.9 KB
2. Tree Methods Project Solutions - Part 1.mp4	40.7 MB
2. Tree Methods Project Solutions - Part 1.srt	23.3 KB
3. Tree Methods Project Solutions - Part 2.mp4	11.0 MB
3. Tree Methods Project Solutions - Part 2.srt	7.3 KB
/28. Machine Learning with R - Support Vector Machines/
1. Introduction to Support Vector Machines.mp4	9.4 MB
1. Introduction to Support Vector Machines.srt	6.2 KB
2. Support Vector Machines with R.mp4	41.5 MB
2. Support Vector Machines with R.srt	21.2 KB
/29. Machine Learning Project - Support Vector Machines/
1. Introduction to SVM Project.mp4	12.1 MB
1. Introduction to SVM Project.srt	4.0 KB
2. Support Vector Machines Project - Solutions Part 1.mp4	29.9 MB
2. Support Vector Machines Project - Solutions Part 1.srt	15.7 KB
3. Support Vector Machines Project - Solutions Part 2.mp4	25.5 MB
3. Support Vector Machines Project - Solutions Part 2.srt	14.7 KB
/3. Windows Installation Set-Up/
1. Windows Installation Procedure.mp4	25.7 MB
1. Windows Installation Procedure.srt	10.4 KB
/30. Machine Learning with R - K-means Clustering/
1. Introduction to K-Means Clustering.mp4	10.0 MB
1. Introduction to K-Means Clustering.srt	7.2 KB
2. K Means Clustering with R.mp4	23.6 MB
2. K Means Clustering with R.srt	14.4 KB
/31. Machine Learning Project - K-means Clustering/
1. Introduction to K Means Clustering Project.mp4	9.2 MB
1. Introduction to K Means Clustering Project.srt	3.6 KB
2. K Means Clustering Project - Solutions Walkthrough.mp4	40.1 MB
2. K Means Clustering Project - Solutions Walkthrough.srt	23.8 KB
/32. Machine Learning with R - Natural Language Processing/
1. Introduction to Natural Language Processing.mp4	8.7 MB
1. Introduction to Natural Language Processing.srt	6.3 KB
2. Natural Language Processing with R - Part 1.mp4	13.2 MB
2. Natural Language Processing with R - Part 1.srt	7.8 KB
3. Natural Language Processing with R - Part 2.mp4	44.9 MB
3. Natural Language Processing with R - Part 2.srt	20.7 KB
/33. Machine Learning with R - Neural Nets/
1. Introduction to Neural Nets.mp4	13.3 MB
1. Introduction to Neural Nets.srt	9.5 KB
2. Neural Nets with R.mp4	57.4 MB
2. Neural Nets with R.srt	32.1 KB
/34. Machine Learning Project - Neural Nets/
1. Introduction to Neural Nets Project.mp4	11.6 MB
1. Introduction to Neural Nets Project.srt	3.6 KB
2. Neural Nets Project - Solutions.mp4	26.8 MB
2. Neural Nets Project - Solutions.srt	12.5 KB
/35. Bonus Section/
1. Bonus Lecture.html	0.5 KB
/4. Mac OS Installation Set-Up/
1. Mac OS Installation Procedure.mp4	74.9 MB
1. Mac OS Installation Procedure.srt	8.9 KB
/5. Linux Installation/
1. LinuxUnbuntu Installation Procedure.html	1.5 KB
/6. Development Environment Overview/
1. Development Environment Overview.mp4	1.2 MB
1. Development Environment Overview.srt	0.5 KB
2. Course Notes.mp4	32.6 MB
2. Course Notes.srt	15.0 KB
2.1 R-Course-HTML-Notes.zip	47.8 MB
3. Guide to RStudio.mp4	36.8 MB
3. Guide to RStudio.srt	19.5 KB
/7. Introduction to R Basics/
1. Introduction to R Basics.mp4	6.8 MB
1. Introduction to R Basics.srt	4.2 KB
10. R Basics Training Exercise.mp4	6.8 MB
10. R Basics Training Exercise.srt	3.6 KB
11. R Basics Training Exercise - Solutions Walkthrough.mp4	15.5 MB
11. R Basics Training Exercise - Solutions Walkthrough.srt	10.5 KB
2. Arithmetic in R.mp4	8.9 MB
2. Arithmetic in R.srt	6.7 KB
3. Variables.mp4	10.4 MB
3. Variables.srt	7.6 KB
4. R Basic Data Types.mp4	10.4 MB
4. R Basic Data Types.srt	7.8 KB
5. Vector Basics.mp4	16.0 MB
5. Vector Basics.srt	10.3 KB
6. Vector Operations.mp4	8.9 MB
6. Vector Operations.srt	6.5 KB
7. Comparison Operators.mp4	12.4 MB
7. Comparison Operators.srt	9.8 KB
8. Vector Indexing and Slicing.mp4	18.8 MB
8. Vector Indexing and Slicing.srt	14.4 KB
9. Getting Help with R and RStudio.mp4	7.1 MB
9. Getting Help with R and RStudio.srt	3.4 KB
/8. R Matrices/
1. Introduction to R Matrices.mp4	1.7 MB
1. Introduction to R Matrices.srt	1.3 KB
2. Creating a Matrix.mp4	22.3 MB
2. Creating a Matrix.srt	14.9 KB
3. Matrix Arithmetic.mp4	9.3 MB
3. Matrix Arithmetic.srt	6.6 KB
4. Matrix Operations.mp4	13.5 MB
4. Matrix Operations.srt	7.8 KB
4.1 Reference of Built-in Functions.html	0.1 KB
5. Matrix Selection and Indexing.mp4	14.0 MB
5. Matrix Selection and Indexing.srt	9.9 KB
6. Factor and Categorical Matrices.mp4	17.8 MB
6. Factor and Categorical Matrices.srt	11.7 KB
7. Matrix Training Exercise.mp4	4.0 MB
7. Matrix Training Exercise.srt	1.6 KB
8. Matrix Training Exercises - Solutions Walkthrough.mp4	29.5 MB
8. Matrix Training Exercises - Solutions Walkthrough.srt	19.7 KB
/9. R Data Frames/
1. Introduction to R Data Frames.mp4	1.6 MB
1. Introduction to R Data Frames.srt	1.1 KB
2. Data Frame Basics.mp4	22.5 MB
2. Data Frame Basics.srt	12.1 KB
3. Data Frame Indexing and Selection.mp4	19.9 MB
3. Data Frame Indexing and Selection.srt	13.1 KB
4. Overview of Data Frame Operations - Part 1.mp4	36.3 MB
4. Overview of Data Frame Operations - Part 1.srt	25.0 KB
5. Overview of Data Frame Operations - Part 2.mp4	40.8 MB
5. Overview of Data Frame Operations - Part 2.srt	27.4 KB
6. Data Frame Training Exercise.mp4	5.2 MB
6. Data Frame Training Exercise.srt	1.8 KB
7. Data Frame Training Exercises - Solutions Walkthrough.mp4	35.7 MB
7. Data Frame Training Exercises - Solutions Walkthrough.srt	21.2 KB
Total files 255