Udemy - Data Science And Machine Learning Bootcamp With R

  • Category Other
  • Type Tutorials
  • Language English
  • Total size 2.4 GB
  • Uploaded By CourseClub
  • Downloads 1192
  • Last checked 1 month ago
  • Date uploaded 6 years ago
  • Seeders 5
  • Leechers 8

Infohash : 09866F7BD84B0945544683149A7AC6D1A093FE97



Data Science And Machine Learning Bootcamp With R

Learn how to use the R programming language for data science and machine learning and data visualization!

For More Courses Visit: https://desirecourse.com

Files:

[DesireCourse.Com] Udemy - Data Science and Machine Learning Bootcamp with R 1. Course Introduction
  • 1. Introduction to Course.mp4 (12.4 MB)
  • 1. Introduction to Course.vtt (3.6 KB)
  • 2. Course Curriculum.mp4 (5.7 MB)
  • 2. Course Curriculum.vtt (3.1 KB)
  • 3. What is Data Science.mp4 (7.0 MB)
  • 3. What is Data Science.vtt (5.2 KB)
  • 4. Course FAQ.html (1.3 KB)
  • 4.1 R-Course-HTML-Notes.zip.zip (45.6 MB)
10. R Lists
  • 1. List Basics.mp4 (19.6 MB)
  • 1. List Basics.vtt (11.5 KB)
11. Data Input and Output with R
  • 1. Introduction to Data Input and Output with R.mp4 (869.7 KB)
  • 1. Introduction to Data Input and Output with R.vtt (0.5 KB)
  • 2. CSV Files with R.mp4 (12.2 MB)
  • 2. CSV Files with R.vtt (8.3 KB)
  • 3. Excel Files with R.mp4 (24.2 MB)
  • 3. Excel Files with R.vtt (15.7 KB)
  • 4. SQL with R.mp4 (25.5 MB)
  • 4. SQL with R.vtt (14.4 KB)
  • 5. Web Scraping with R.mp4 (17.4 MB)
  • 5. Web Scraping with R.vtt (9.4 KB)
12. R Programming Basics
  • 1. Introduction to Programming Basics.mp4 (1.7 MB)
  • 1. Introduction to Programming Basics.vtt (1.4 KB)
  • 10. Functions Training Exercise - Solutions.mp4 (36.8 MB)
  • 10. Functions Training Exercise - Solutions.vtt (25.4 KB)
  • 2. Logical Operators.mp4 (14.5 MB)
  • 2. Logical Operators.vtt (10.1 KB)
  • 3. if, else, and else if Statements.mp4 (25.9 MB)
  • 3. if, else, and else if Statements.vtt (17.7 KB)
  • 4. Conditional Statements Training Exercise.mp4 (3.5 MB)
  • 4. Conditional Statements Training Exercise.vtt (2.3 KB)
  • 5. Conditional Statements Training Exercise - Solutions Walkthrough.mp4 (21.1 MB)
  • 5. Conditional Statements Training Exercise - Solutions Walkthrough.vtt (15.4 KB)
  • 6. While Loops.mp4 (12.0 MB)
  • 6. While Loops.vtt (9.2 KB)
  • 7. For Loops.mp4 (23.1 MB)
  • 7. For Loops.vtt (16.0 KB)
  • 8. Functions.mp4 (35.1 MB)
  • 8. Functions.vtt (23.3 KB)
  • 9. Functions Training Exercise.mp4 (6.7 MB)
  • 9. Functions Training Exercise.vtt (3.5 KB)
13. Advanced R Programming
  • 1. Introduction to Advanced R Programming.mp4 (1.6 MB)
  • 1. Introduction to Advanced R Programming.vtt (1.4 KB)
  • 2. Built-in R Features.mp4 (18.0 MB)
  • 2. Built-in R Features.vtt (11.2 KB)
  • 3. Apply.mp4 (28.1 MB)
  • 3. Apply.vtt (17.9 KB)
  • 4. Math Functions with R.mp4 (9.2 MB)
  • 4. Math Functions with R.vtt (4.4 KB)
  • 5. Regular Expressions.mp4 (9.7 MB)
  • 5. Regular Expressions.vtt (6.2 KB)
  • 6. Dates and Timestamps.mp4 (24.0 MB)
  • 6. Dates and Timestamps.vtt (14.8 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 (25.1 MB)
  • 2. Guide to Using Dplyr.vtt (15.9 KB)
  • 3. Guide to Using Dplyr - Part 2.mp4 (20.5 MB)
  • 3. Guide to Using Dplyr - Part 2.vtt (12.7 KB)
  • 4. Pipe Operator.mp4 (13.8 MB)
  • 4. Pipe Operator.vtt (8.4 KB)
  • 5. Quick note on Dpylr exercise.html (0.3 KB)
  • 6. Dplyr Training Exercise.mp4 (2.7 MB)
  • 6. Dplyr Training Exercise.vtt (1.8 KB)
  • 7. Dplyr Training Exercise - Solutions Walkthrough.mp4 (13.8 MB)
  • 7. Dplyr Training Exercise - Solutions Walkthrough.vtt (13.8 MB)
  • 8. Guide to Using Tidyr.mp4 (47.1 MB)
  • 8. Guide to Using Tidyr.vtt (24.9 KB)
15. Data Visualization with R
  • 1. Overview of ggplot2.mp4 (12.0 MB)
  • 1. Overview of ggplot2.vtt (9.2 KB)
  • 10. ggplot2 Exercise Solutions.mp4 (26.0 MB)
  • 10. ggplot2 Exercise Solutions.vtt (17.1 KB)
  • 2. Histograms.mp4 (45.6 MB)
  • 2. Histograms.vtt (24.8 KB)
  • 3. Scatterplots.mp4 (37.5 MB)
  • 3. Scatterplots.vtt (21.3 KB)
  • 4. Barplots.mp4 (16.8 MB)
  • 4. Barplots.vtt (10.3 KB)
  • 5. Boxplots.mp4 (14.1 MB)
  • 5. Boxplots.vtt (9.6 KB)
  • 6. 2 Variable Plotting.mp4 (20.4 MB)
  • 6. 2 Variable Plotting.vtt (9.3 KB)
  • 7. Coordinates and Faceting.mp4 (24.1 MB)
  • 7. Coordinates and Faceting.vtt (12.5 KB)
  • 8. Themes.mp4 (11.2 MB)
  • 8. Themes.vtt (6.9 KB)
  • 9. ggplot2 Exercises.mp4 (6.7 MB)
  • 9. ggplot2 Exercises.vtt (4.1 KB)
16. Data Visualization Project
  • 1. Data Visualization Project.mp4 (11.6 MB)
  • 1. Data Visualization Project.vtt (4.2 KB)
  • 2. Data Visualization Project - Solutions Walkthrough - Part 1.mp4 (32.6 MB)
  • 2. Data Visualization Project - Solutions Walkthrough - Part 1.vtt (14.8 KB)
  • 3. Data Visualization Project Solutions Walkthrough - Part 2.mp4 (32.1 MB)
  • 3. Data Visualization Project Solutions Walkthrough - Part 2.vtt (14.6 KB)
17. Interactive Visualizations with Plotly
  • 1. Overview of Plotly and Interactive Visualizations.mp4 (33.5 MB)
  • 1. Overview of Plotly and Interactive Visualizations.vtt (11.8 KB)
  • 2. Resources for Plotly and ggplot2.html (0.9 KB)
18. Capstone Data Project
  • 1. Introduction to Capstone Project.mp4 (35.0 MB)
  • 1. Introduction to Capstone Project.vtt (11.5 KB)
  • 2. Capstone Project Solutions Walkthrough.mp4 (54.5 MB)
  • 2. Capstone Project Solutions Walkthrough.vtt (26.2 KB)
19. Introduction to Machine Learning with R
  • 1. ISLR PDF.html (0.4 KB)
  • 2. Introduction to Machine Learning.mp4 (48.5 MB)
  • 2. Introduction to Machine Learning.vtt (24.3 KB)
  • 2.1 Machine Learning Slides.zip.zip (2.9 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 (10.2 MB)
  • 1. Introduction to Linear Regression.vtt (7.3 KB)
  • 2. Linear Regression with R - Part 1.mp4 (46.9 MB)
  • 2. Linear Regression with R - Part 1.vtt (25.1 KB)
  • 3. Linear Regression with R - Part 2.mp4 (45.9 MB)
  • 3. Linear Regression with R - Part 2.vtt (26.8 KB)
  • 4. Linear Regression with R - Part 3.mp4 (22.8 MB)
  • 4. Linear Regression with R - Part 3.vtt (14.0 KB)
21. Machine Learning Project - Linear Regression
  • 1. Introduction to Linear Regression Project.mp4 (33.7 MB)
  • 1. Introduction to Linear Regression Project.vtt (12.6 KB)
  • 2. ML - Linear Regression Project - Solutions Part 1.mp4 (47.8 MB)
  • 2. ML - Linear Regression Project - Solutions Part 1.vtt (26.0 KB)
  • 3. ML - Linear Regression Project - Solutions Part 2.mp4 (26.1 MB)
  • 3. ML - Linear Regression Project - Solutions Part 2.vtt (13.5 KB)
22. Machine Learning with R - Logistic Regression
  • 1. Introduction to Logistic Regression.mp4 (19.8 MB)
  • 1. Introduction to Logistic Regression.vtt (15.2 KB)
  • 2. Logistic Regression with R - Part 1.mp4 (39.6 MB)
  • 2. Logistic Regression with R - Part 1.vtt (24.9 KB)
  • 3. Logistic Regression with R - Part 2.mp4 (40.9 MB)
  • 3. Logistic Regression with R - Part 2.vtt (22.2 KB)
23. Machine Learning Project - Logistic Regression
  • 1. Introduction to Logistic Regression Project.mp4 (10.1 MB)
  • 1. Introduction to Logistic Regression Project.vtt (2.6 KB)
  • 2. Logistic Regression Project Solutions - Part 1.mp4 (47.4 MB)
  • 2. Logistic Regression Project Solutions - Part 1.vtt (24.7 KB)
  • 3. Logistic Regression Project Solutions - Part 2.mp4 (32.8 MB)
  • 3. Logistic Regression Project Solutions - Part 2.vtt (19.4 KB)
  • 4. Logistic Regression Project - Solutions Part 3.mp4 (32.2 MB)
  • 4. Logistic Regression Project - Solutions Part 3.vtt (17.2 KB)
24. Machine Learning with R - K Nearest Neighbors
  • 1. Introduction to K Nearest Neighbors.mp4 (8.5 MB)
  • 1. Introduction to K Nearest Neighbors.vtt (6.5 KB)
  • 2. K Nearest Neighbors with R.mp4 (40.4 MB)
  • 2. K Nearest Neighbors with R.vtt (22.5 KB)
25. Machine Learning Project - K Nearest Neighbors
  • 1. Introduction K Nearest Neighbors Project.mp4 (11.7 MB)
  • 1. Introduction K Nearest Neighbors Project.vtt (4.8 KB)
  • 2. K Nearest Neighbors Project Solutions.mp4 (25.2 MB)
  • 2. K Nearest Neighbors Project Solutions.vtt (12.1 KB)
26. Machine Learning with R - Decision Trees and Random Forests
  • 1. Introduction to Tree Methods.mp4 (11.2 MB)
  • 1. Introduction to Tree Methods.vtt (8.3 KB)
  • 2. Decision Trees and Random Forests with R.mp4 (28.8 MB)
  • 2. Decision Trees and Random Forests with R.vtt (15.3 KB)
27. Machine Learning Project - Decision Trees and Random Forests
  • 1. Introduction to Decision Trees and Random Forests Project.mp4 (8.4 MB)
  • 1. Introduction to Decision Trees and Random Forests Project.vtt (2.5 KB)
  • 2. Tree Methods Project Solutions - Part 1.mp4 (33.4 MB)
  • 2. Tree Methods Project Solutions - Part 1.vtt (20.3 KB)
  • 3. Tree Methods Project Solutions - Part 2.mp4 (9.1 MB)
  • 3. Tree Methods Project Solutions - Part 2.vtt (6.4 KB)
28. Machine Learning with R - Support Vector Machines
  • 1. Introduction to Support Vector Machines.mp4 (8.0 MB)
  • 1. Introduction to Support Vector Machines.vtt (5.5 KB)
  • 2. Support Vector Machines with R.mp4 (33.0 MB)
  • 2. Support Vector Machines with R.vtt (18.6 KB)
29. Machine Learning Project - Support Vector Machines
  • 1. Introduction to SVM Project.mp4 (9.3 MB)
  • 1. Introduction to SVM Project.vtt (3.5 KB)
  • 2. Support Vector Machines Project - Solutions Part 1.mp4 (24.1 MB)
  • 2. Support Vector Machines Project - Solutions Part 1.vtt (13.8 KB)
  • 3. Support Vector Machines Project - Solutions Part 2.mp4 (21.0 MB)
  • 3. Support Vector Machines Project - Solutions Part 2.vtt (12.8 KB)
3. Windows Installation Set-Up
  • 1. Windows Installation Procedure.mp4 (17.8 MB)
  • 1. Windows Installation Procedure.vtt (9.1 KB)
30. Machine Learning with R - K-means Clustering
  • 1. Introduction to K-Means Clustering.mp4 (8.6 MB)
  • 1. Introduction to K-Means Clustering.vtt (6.3 KB)
  • 2. K Means Clustering with R.mp4 (19.2 MB)
  • 2. K Means Clustering with R.vtt (12.6 KB)
31. Machine Learning Project - K-means Clustering
  • 1. Introduction to K Means Clustering Project.mp4 (7.2 MB)
  • 1. Introduction to K Means Clustering Project.vtt (3.1 KB)
  • 2. K Means Clustering Project - Solutions Walkthrough.mp4 (33.0 MB)
  • 2. K Means Clustering Project - Solutions Walkthrough.vtt (20.9 KB)
32. Machine Learning with R - Natural Language Processing
  • 1. Introduction to Natural Language Processing.mp4 (7.6 MB)
  • 1. Introduction to Natural Language Processing.vtt (5.6 KB)
  • 2. Natural Language Processing with R - Part 1.mp4 (10.4 MB)
  • 2. Natural Language Processing with R - Part 1.vtt (6.9 KB)
  • 3. Natural Language Processing with R - Part 2.mp4 (35.7 MB)
  • 3. Natural Language Processing with R - Part 2.vtt (18.1 KB)
33. Machine Learning with R - Neural Nets
  • 1. Introduction to Neural Nets.mp4 (11.2 MB)
  • 1. Introduction to Neural Nets.vtt (8.4 KB)
  • 2. Neural Nets with R.mp4 (46.3 MB)
  • 2. Neural Nets with R.vtt (28.1 KB)
34. Machine Learning Project - Neural Nets
  • 1. Introduction to Neural Nets Project.mp4 (8.4 MB)
  • 1. Introduction to Neural Nets Project.vtt (3.2 KB)
  • 2. Neural Nets Project - Solutions.mp4 (20.6 MB)
  • 2. Neural Nets Project - Solutions.vtt (11.0 KB)
35. Bonus Section - Discounts for Other Courses
  • 1. Bonus Lecture Coupons.html (5.8 KB)
4. Mac OS Installation Set-Up
  • 1. Mac OS Installation Procedure.mp4 (20.8 MB)
  • 1. Mac OS Installation Procedure.vtt (7.8 KB)
5. Linux Installation
  • 1. LinuxUnbuntu Installation Procedure.html (1.5 KB)
6. Development Environment Overview
  • 1. Development Environment Overview.mp4 (870.3 KB)
  • 1. Development Environment Overview.vtt (0.4 KB)
  • 2. Course Notes.mp4 (25.7 MB)
  • 2. Course Notes.vtt (13.2 KB)
  • 2.1 R-Course-HTML-Notes.zip.zip (45.6 MB)
  • 3. Guide to RStudio.mp4 (28.3 MB)
  • 3. Guide to RStudio.vtt (17.0 KB)
7. Introduction to R Basics
  • 1. Introduction to R Basics.mp4 (5.6 MB)
  • 1. Introduction to R Basics.vtt (3.7 KB)
  • 10. R Basics Training Exercise.mp4 (5.4 MB)
  • 10. R Basics Training Exercise.vtt (3.1 KB)
  • 11. R Basics Training Exercise - Solutions Walkthrough.mp4 (12.8 MB)
  • 11. R Basics Training Exercise - Solutions Walkthrough.vtt (9.1 KB)
  • 2. Arithmetic in R.mp4 (7.7 MB)
  • 2. Arithmetic in R.vtt (5.8 KB)
  • 3. Variables.mp4 (8.9 MB)
  • 3. Variables.vtt (6.6 KB)
  • 4. R Basic Data Types.mp4 (9.1 MB)
  • 4. R Basic Data Types.vtt (6.8 KB)
  • 5. Vector Basics.mp4 (13.7 MB)
  • 5. Vector Basics.vtt (9.0 KB)
  • 6. Vector Operations.mp4 (7.5 MB)
  • 6. Vector Operations.vtt (5.7 KB)
  • 7. Comparison Operators.mp4 (10.7 MB)
  • 7. Comparison Operators.vtt (8.5 KB)
  • 8. Vector Indexing and Slicing.mp4 (16.1 MB)
  • 8. Vector Indexing and Slicing.vtt (12.5 KB)
  • 9. Getting Help with R and RStudio.mp4 (5.6 MB)
  • 9. Getting Help with R and RStudio.vtt (3.0 KB)
8. R Matrices
  • 1. Introduction to R Matrices.mp4 (1.5 MB)
  • 1. Introduction to R Matrices.vtt (1.1 KB)
  • 2. Creating a Matrix.mp4 (18.6 MB)
  • 2. Creating a Matrix.vtt (13.0 KB)
  • 3. Matrix Arithmetic.mp4 (7.8 MB)
  • 3. Matrix Arithmetic.vtt (5.8 KB)
  • 4. Matrix Operations.mp4 (10.8 MB)
  • 4. Matrix Operations.vtt (6.8 KB)
  • 4.1 Reference of Built-in Functions.html (0.1 KB)
  • 5. Matrix Selection and Indexing.mp4 (11.8 MB)
  • 5. Matrix Selection and Indexing.vtt (8.6 KB)
  • 6. Factor and Categorical Matrices.mp4 (14.8 MB)
  • 6. Factor and Categorical Matrices.vtt (10.2 KB)
  • 7. Matrix Training Exercise.mp4 (3.2 MB)
  • 7. Matrix Training Exercise.vtt (1.4 KB)
  • 8. Matrix Training Exercises - Solutions Walkthrough.mp4 (24.6 MB)
  • 8. Matrix Training Exercises - Solutions Walkthrough.vtt (17.0 KB)
9. 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 (18.2 MB)
  • 2. Data Frame Basics.vtt (10.6 KB)
  • 3. Data Frame Indexing and Selection.mp4 (16.8 MB)
  • 3. Data Frame Indexing and Selection.vtt (11.5 KB)
  • 4. Overview of Data Frame Operations - Part 1.mp4 (30.5 MB)
  • 4. Overview of Data Frame Operations - Part 1.vtt (21.8 KB)
  • 5. Overview of Data Frame Operations - Part 2.mp4 (34.1 MB)
  • 5. Overview of Data Frame Operations - Part 2.vtt (23.8 KB)
  • 6. Data Frame Training Exercise.mp4 (4.3 MB)
  • 6. Data Frame Training Exercise.vtt (1.6 KB)
  • 7. Data Frame Training Exercises - Solutions Walkthrough.mp4 (29.0 MB)
  • 7. Data Frame Training Exercises - Solutions Walkthrough.vtt (18.5 KB)
  • [DesireCourse.Com].txt (0.7 KB)
  • [DesireCourse.Com].url (0.0 KB)

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