UdemyCourseDownloader Data Science and Machine Learning Bootcamp with

UdemyCourseDownloader Data Science and Machine Learning Bootcamp with

Name	[UdemyCourseDownloader] Data Science and Machine Learning Bootcamp with R	DOWNLOAD Copy Link
Total Size	2.6 GB
Total Files	253
Hash	9B2727C349D063E5B9AA1CAEBD14D6385FD4E26F

/18. Capstone Data Project/
2. Capstone Project Solutions Walkthrough.mp4	57.1 MB
1. Introduction to Capstone Project.mp4	36.7 MB
1. Introduction to Capstone Project.vtt	11.8 KB
2. Capstone Project Solutions Walkthrough.vtt	26.9 KB
/
udemycoursedownloader.com.url	0.1 KB
Udemy Course downloader.txt	0.1 KB
/01. Course Introduction/
1. Introduction to Course.mp4	13.0 MB
1. Introduction to Course.vtt	3.7 KB
2. Course Curriculum.mp4	6.0 MB
2. Course Curriculum.vtt	3.1 KB
3. What is Data Science.mp4	7.4 MB
3. What is Data Science.vtt	5.4 KB
4. Course FAQ.html	1.3 KB
4.1 R-Course-HTML-Notes.zip.zip	47.8 MB
/02. 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
/03. Windows Installation Set-Up/
1. Windows Installation Procedure.mp4	18.6 MB
1. Windows Installation Procedure.vtt	9.3 KB
/04. Mac OS Installation Set-Up/
1. Mac OS Installation Procedure.mp4	21.9 MB
1. Mac OS Installation Procedure.vtt	8.0 KB
/05. Linux Installation/
1. LinuxUnbuntu Installation Procedure.html	1.5 KB
/06. Development Environment Overview/
1. Development Environment Overview.mp4	891.2 KB
1. Development Environment Overview.vtt	0.5 KB
2. Course Notes.mp4	27.0 MB
2. Course Notes.vtt	13.5 KB
2.1 R-Course-HTML-Notes.zip.zip	47.8 MB
3. Guide to RStudio.mp4	29.7 MB
3. Guide to RStudio.vtt	17.4 KB
/07. Introduction to R Basics/
1. Introduction to R Basics.mp4	5.9 MB
1. Introduction to R Basics.vtt	3.8 KB
2. Arithmetic in R.mp4	8.1 MB
2. Arithmetic in R.vtt	6.0 KB
3. Variables.mp4	9.4 MB
3. Variables.vtt	6.8 KB
4. R Basic Data Types.mp4	9.5 MB
4. R Basic Data Types.vtt	7.0 KB
5. Vector Basics.mp4	14.3 MB
5. Vector Basics.vtt	9.2 KB
6. Vector Operations.mp4	7.9 MB
6. Vector Operations.vtt	5.9 KB
7. Comparison Operators.mp4	11.2 MB
7. Comparison Operators.vtt	8.7 KB
8. Vector Indexing and Slicing.mp4	16.8 MB
8. Vector Indexing and Slicing.vtt	12.8 KB
9. Getting Help with R and RStudio.mp4	5.9 MB
9. Getting Help with R and RStudio.vtt	3.1 KB
10. R Basics Training Exercise.mp4	5.6 MB
10. R Basics Training Exercise.vtt	3.2 KB
11. R Basics Training Exercise - Solutions Walkthrough.mp4	13.4 MB
11. R Basics Training Exercise - Solutions Walkthrough.vtt	9.3 KB
/08. R Matrices/
1. Introduction to R Matrices.mp4	1.5 MB
1. Introduction to R Matrices.vtt	1.2 KB
2. Creating a Matrix.mp4	19.5 MB
2. Creating a Matrix.vtt	13.3 KB
3. Matrix Arithmetic.mp4	8.2 MB
3. Matrix Arithmetic.vtt	5.9 KB
4. Matrix Operations.mp4	11.3 MB
4. Matrix Operations.vtt	7.0 KB
4.1 Reference of Built-in Functions.html	0.1 KB
5. Matrix Selection and Indexing.mp4	12.4 MB
5. Matrix Selection and Indexing.vtt	8.8 KB
6. Factor and Categorical Matrices.mp4	15.6 MB
6. Factor and Categorical Matrices.vtt	10.4 KB
7. Matrix Training Exercise.mp4	3.4 MB
7. Matrix Training Exercise.vtt	1.4 KB
8. Matrix Training Exercises - Solutions Walkthrough.mp4	25.8 MB
8. Matrix Training Exercises - Solutions Walkthrough.vtt	17.4 KB
/09. R Data Frames/
1. Introduction to R Data Frames.mp4	1.4 MB
1. Introduction to R Data Frames.vtt	1.0 KB
2. Data Frame Basics.mp4	19.1 MB
2. Data Frame Basics.vtt	10.9 KB
3. Data Frame Indexing and Selection.mp4	17.6 MB
3. Data Frame Indexing and Selection.vtt	11.7 KB
4. Overview of Data Frame Operations - Part 1.mp4	31.9 MB
4. Overview of Data Frame Operations - Part 1.vtt	22.3 KB
5. Overview of Data Frame Operations - Part 2.mp4	35.8 MB
5. Overview of Data Frame Operations - Part 2.vtt	24.4 KB
6. Data Frame Training Exercise.mp4	4.5 MB
6. Data Frame Training Exercise.vtt	1.6 KB
7. Data Frame Training Exercises - Solutions Walkthrough.mp4	30.4 MB
7. Data Frame Training Exercises - Solutions Walkthrough.vtt	18.9 KB
/10. R Lists/
1. List Basics.mp4	20.5 MB
1. List Basics.vtt	11.7 KB
/11. Data Input and Output with R/
1. Introduction to Data Input and Output with R.mp4	890.6 KB
1. Introduction to Data Input and Output with R.vtt	0.5 KB
2. CSV Files with R.mp4	12.8 MB
2. CSV Files with R.vtt	8.5 KB
3. Excel Files with R.mp4	25.3 MB
3. Excel Files with R.vtt	16.1 KB
4. SQL with R.mp4	26.7 MB
4. SQL with R.vtt	14.8 KB
5. Web Scraping with R.mp4	18.2 MB
5. Web Scraping with R.vtt	9.6 KB
/12. R Programming Basics/
1. Introduction to Programming Basics.mp4	1.8 MB
1. Introduction to Programming Basics.vtt	1.5 KB
2. Logical Operators.mp4	15.2 MB
2. Logical Operators.vtt	10.3 KB
3. if, else, and else if Statements.mp4	27.2 MB
3. if, else, and else if Statements.vtt	18.1 KB
4. Conditional Statements Training Exercise.mp4	3.6 MB
4. Conditional Statements Training Exercise.vtt	2.3 KB
5. Conditional Statements Training Exercise - Solutions Walkthrough.mp4	22.1 MB
5. Conditional Statements Training Exercise - Solutions Walkthrough.vtt	15.8 KB
6. While Loops.mp4	12.6 MB
6. While Loops.vtt	9.5 KB
7. For Loops.mp4	24.2 MB
7. For Loops.vtt	16.4 KB
8. Functions.mp4	36.8 MB
8. Functions.vtt	23.8 KB
9. Functions Training Exercise.mp4	7.0 MB
9. Functions Training Exercise.vtt	3.6 KB
10. Functions Training Exercise - Solutions.mp4	38.5 MB
10. Functions Training Exercise - Solutions.vtt	26.0 KB
/13. Advanced R Programming/
1. Introduction to Advanced R Programming.mp4	1.7 MB
1. Introduction to Advanced R Programming.vtt	1.4 KB
2. Built-in R Features.mp4	18.9 MB
2. Built-in R Features.vtt	11.5 KB
3. Apply.mp4	29.4 MB
3. Apply.vtt	18.4 KB
4. Math Functions with R.mp4	9.7 MB
4. Math Functions with R.vtt	4.5 KB
5. Regular Expressions.mp4	10.2 MB
5. Regular Expressions.vtt	6.3 KB
6. Dates and Timestamps.mp4	25.2 MB
6. Dates and Timestamps.vtt	15.2 KB
/14. Data Manipulation with R/
1. Data Manipulation Overview.mp4	1.2 MB
1. Data Manipulation Overview.vtt	0.9 KB
2. Guide to Using Dplyr.mp4	26.4 MB
2. Guide to Using Dplyr.vtt	16.3 KB
3. Guide to Using Dplyr - Part 2.mp4	21.5 MB
3. Guide to Using Dplyr - Part 2.vtt	13.0 KB
4. Pipe Operator.mp4	14.4 MB
4. Pipe Operator.vtt	8.6 KB
5. Quick note on Dpylr exercise.html	0.3 KB
6. Dplyr Training Exercise.mp4	2.8 MB
6. Dplyr Training Exercise.vtt	1.8 KB
7. Dplyr Training Exercise - Solutions Walkthrough.mp4	14.5 MB
7. Dplyr Training Exercise - Solutions Walkthrough.vtt	14.5 MB
8. Guide to Using Tidyr.mp4	49.4 MB
8. Guide to Using Tidyr.vtt	25.5 KB
/15. Data Visualization with R/
1. Overview of ggplot2.mp4	12.6 MB
1. Overview of ggplot2.vtt	9.4 KB
2. Histograms.mp4	47.8 MB
2. Histograms.vtt	25.4 KB
3. Scatterplots.mp4	39.4 MB
3. Scatterplots.vtt	21.8 KB
4. Barplots.mp4	17.6 MB
4. Barplots.vtt	10.6 KB
5. Boxplots.mp4	14.8 MB
5. Boxplots.vtt	9.9 KB
6. 2 Variable Plotting.mp4	21.4 MB
6. 2 Variable Plotting.vtt	9.5 KB
7. Coordinates and Faceting.mp4	25.2 MB
7. Coordinates and Faceting.vtt	12.8 KB
8. Themes.mp4	11.8 MB
8. Themes.vtt	7.0 KB
9. ggplot2 Exercises.mp4	7.0 MB
9. ggplot2 Exercises.vtt	4.2 KB
10. ggplot2 Exercise Solutions.mp4	27.3 MB
10. ggplot2 Exercise Solutions.vtt	17.5 KB
/16. Data Visualization Project/
1. Data Visualization Project.mp4	12.2 MB
1. Data Visualization Project.vtt	4.3 KB
2. Data Visualization Project - Solutions Walkthrough - Part 1.mp4	34.2 MB
2. Data Visualization Project - Solutions Walkthrough - Part 1.vtt	15.1 KB
3. Data Visualization Project Solutions Walkthrough - Part 2.mp4	33.7 MB
3. Data Visualization Project Solutions Walkthrough - Part 2.vtt	15.0 KB
/17. Interactive Visualizations with Plotly/
1. Overview of Plotly and Interactive Visualizations.mp4	35.2 MB
1. Overview of Plotly and Interactive Visualizations.vtt	12.1 KB
2. Resources for Plotly and ggplot2.html	1.0 KB
/19. Introduction to Machine Learning with R/
1. ISLR PDF.html	0.4 KB
2. Introduction to Machine Learning.mp4	50.9 MB
2. Introduction to Machine Learning.vtt	24.9 KB
2.1 Machine Learning Slides.zip.zip	3.0 MB
/20. Machine Learning with R - Linear Regression/
1. Introduction to Linear Regression.mp4	10.7 MB
1. Introduction to Linear Regression.vtt	7.5 KB
2. Linear Regression with R - Part 1.mp4	49.2 MB
2. Linear Regression with R - Part 1.vtt	25.7 KB
3. Linear Regression with R - Part 2.mp4	48.2 MB
3. Linear Regression with R - Part 2.vtt	27.4 KB
4. Linear Regression with R - Part 3.mp4	23.9 MB
4. Linear Regression with R - Part 3.vtt	14.3 KB
/21. Machine Learning Project - Linear Regression/
1. Introduction to Linear Regression Project.mp4	35.3 MB
1. Introduction to Linear Regression Project.vtt	12.9 KB
2. ML - Linear Regression Project - Solutions Part 1.mp4	50.1 MB
2. ML - Linear Regression Project - Solutions Part 1.vtt	26.7 KB
3. ML - Linear Regression Project - Solutions Part 2.mp4	27.3 MB
3. ML - Linear Regression Project - Solutions Part 2.vtt	13.9 KB
/22. Machine Learning with R - Logistic Regression/
1. Introduction to Logistic Regression.mp4	20.8 MB
1. Introduction to Logistic Regression.vtt	15.6 KB
2. Logistic Regression with R - Part 1.mp4	41.5 MB
2. Logistic Regression with R - Part 1.vtt	25.5 KB
3. Logistic Regression with R - Part 2.mp4	42.9 MB
3. Logistic Regression with R - Part 2.vtt	22.7 KB
/23. Machine Learning Project - Logistic Regression/
1. Introduction to Logistic Regression Project.mp4	10.6 MB
1. Introduction to Logistic Regression Project.vtt	2.6 KB
2. Logistic Regression Project Solutions - Part 1.mp4	49.7 MB
2. Logistic Regression Project Solutions - Part 1.vtt	25.3 KB
3. Logistic Regression Project Solutions - Part 2.mp4	34.4 MB
3. Logistic Regression Project Solutions - Part 2.vtt	19.8 KB
4. Logistic Regression Project - Solutions Part 3.mp4	33.7 MB
4. Logistic Regression Project - Solutions Part 3.vtt	17.6 KB
/24. Machine Learning with R - K Nearest Neighbors/
1. Introduction to K Nearest Neighbors.mp4	8.9 MB
1. Introduction to K Nearest Neighbors.vtt	6.6 KB
2. K Nearest Neighbors with R.mp4	42.4 MB
2. K Nearest Neighbors with R.vtt	23.1 KB
/25. Machine Learning Project - K Nearest Neighbors/
1. Introduction K Nearest Neighbors Project.mp4	12.3 MB
1. Introduction K Nearest Neighbors Project.vtt	4.9 KB
2. K Nearest Neighbors Project Solutions.mp4	26.4 MB
2. K Nearest Neighbors Project Solutions.vtt	12.3 KB
/26. Machine Learning with R - Decision Trees and Random Forests/
1. Introduction to Tree Methods.mp4	11.8 MB
1. Introduction to Tree Methods.vtt	8.5 KB
2. Decision Trees and Random Forests with R.mp4	30.2 MB
2. Decision Trees and Random Forests with R.vtt	15.6 KB
/27. Machine Learning Project - Decision Trees and Random Forests/
1. Introduction to Decision Trees and Random Forests Project.mp4	8.8 MB
1. Introduction to Decision Trees and Random Forests Project.vtt	2.6 KB
2. Tree Methods Project Solutions - Part 1.mp4	35.1 MB
2. Tree Methods Project Solutions - Part 1.vtt	20.8 KB
3. Tree Methods Project Solutions - Part 2.mp4	9.6 MB
3. Tree Methods Project Solutions - Part 2.vtt	6.6 KB
/28. Machine Learning with R - Support Vector Machines/
1. Introduction to Support Vector Machines.mp4	8.4 MB
1. Introduction to Support Vector Machines.vtt	5.6 KB
2. Support Vector Machines with R.mp4	34.6 MB
2. Support Vector Machines with R.vtt	19.0 KB
/29. Machine Learning Project - Support Vector Machines/
1. Introduction to SVM Project.mp4	9.8 MB
1. Introduction to SVM Project.vtt	3.6 KB
2. Support Vector Machines Project - Solutions Part 1.mp4	25.3 MB
2. Support Vector Machines Project - Solutions Part 1.vtt	14.1 KB
3. Support Vector Machines Project - Solutions Part 2.mp4	22.1 MB
3. Support Vector Machines Project - Solutions Part 2.vtt	13.1 KB
/30. Machine Learning with R - K-means Clustering/
1. Introduction to K-Means Clustering.mp4	9.0 MB
1. Introduction to K-Means Clustering.vtt	6.5 KB
2. K Means Clustering with R.mp4	20.1 MB
2. K Means Clustering with R.vtt	12.9 KB
/31. Machine Learning Project - K-means Clustering/
1. Introduction to K Means Clustering Project.mp4	7.6 MB
1. Introduction to K Means Clustering Project.vtt	3.2 KB
2. K Means Clustering Project - Solutions Walkthrough.mp4	34.6 MB
2. K Means Clustering Project - Solutions Walkthrough.vtt	21.4 KB
/32. Machine Learning with R - Natural Language Processing/
1. Introduction to Natural Language Processing.mp4	7.9 MB
1. Introduction to Natural Language Processing.vtt	5.7 KB
2. Natural Language Processing with R - Part 1.mp4	10.9 MB
2. Natural Language Processing with R - Part 1.vtt	7.0 KB
3. Natural Language Processing with R - Part 2.mp4	37.4 MB
3. Natural Language Processing with R - Part 2.vtt	18.5 KB
/33. Machine Learning with R - Neural Nets/
1. Introduction to Neural Nets.mp4	11.8 MB
1. Introduction to Neural Nets.vtt	8.6 KB
2. Neural Nets with R.mp4	48.5 MB
2. Neural Nets with R.vtt	28.8 KB
/34. Machine Learning Project - Neural Nets/
1. Introduction to Neural Nets Project.mp4	8.8 MB
1. Introduction to Neural Nets Project.vtt	3.3 KB
2. Neural Nets Project - Solutions.mp4	21.6 MB
2. Neural Nets Project - Solutions.vtt	11.3 KB
/35. Bonus Section - Discounts for Other Courses/
1. Bonus Lecture Coupons.html	5.9 KB
Total files 253