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[DesireCourse.Net] Udemy - Data Science and Machine Learning Bootcamp with R
magnet:?xt=urn:btih:7647ab374617c07a3e8309755a6b5190b187c97d&dn=[DesireCourse.Net] Udemy - Data Science and Machine Learning Bootcamp with R
磁力链接详情
Hash值:
7647ab374617c07a3e8309755a6b5190b187c97d
点击数:
173
文件大小:
2.29 GB
文件数量:
119
创建日期:
2021-7-10 12:25
最后访问:
2024-7-25 11:23
访问标签:
DesireCourse
Net
Udemy
-
Data
Science
and
Machine
Learning
Bootcamp
with
R
文件列表详情
1. Course Introduction/1. Introduction to Course.mp4 12.43 MB
1. Course Introduction/2. Course Curriculum.mp4 5.71 MB
1. Course Introduction/3. What is Data Science.mp4 7.01 MB
10. R Lists/1. List Basics.mp4 19.57 MB
11. Data Input and Output with R/1. Introduction to Data Input and Output with R.mp4 869.69 KB
11. Data Input and Output with R/2. CSV Files with R.mp4 12.2 MB
11. Data Input and Output with R/3. Excel Files with R.mp4 24.17 MB
11. Data Input and Output with R/4. SQL with R.mp4 25.48 MB
11. Data Input and Output with R/5. Web Scraping with R.mp4 17.4 MB
12. R Programming Basics/1. Introduction to Programming Basics.mp4 1.72 MB
12. R Programming Basics/10. Functions Training Exercise - Solutions.mp4 36.75 MB
12. R Programming Basics/2. Logical Operators.mp4 14.52 MB
12. R Programming Basics/3. if, else, and else if Statements.mp4 25.92 MB
12. R Programming Basics/4. Conditional Statements Training Exercise.mp4 3.48 MB
12. R Programming Basics/5. Conditional Statements Training Exercise - Solutions Walkthrough.mp4 21.07 MB
12. R Programming Basics/6. While Loops.mp4 12 MB
12. R Programming Basics/7. For Loops.mp4 23.11 MB
12. R Programming Basics/8. Functions.mp4 35.1 MB
12. R Programming Basics/9. Functions Training Exercise.mp4 6.7 MB
13. Advanced R Programming/1. Introduction to Advanced R Programming.mp4 1.61 MB
13. Advanced R Programming/2. Built-in R Features.mp4 18.03 MB
13. Advanced R Programming/3. Apply.mp4 28.07 MB
13. Advanced R Programming/4. Math Functions with R.mp4 9.26 MB
13. Advanced R Programming/5. Regular Expressions.mp4 9.73 MB
13. Advanced R Programming/6. Dates and Timestamps.mp4 24.01 MB
14. Data Manipulation with R/1. Data Manipulation Overview.mp4 1.17 MB
14. Data Manipulation with R/2. Guide to Using Dplyr.mp4 25.14 MB
14. Data Manipulation with R/3. Guide to Using Dplyr - Part 2.mp4 20.53 MB
14. Data Manipulation with R/4. Pipe Operator.mp4 13.76 MB
14. Data Manipulation with R/6. Dplyr Training Exercise.mp4 2.68 MB
14. Data Manipulation with R/7. Dplyr Training Exercise - Solutions Walkthrough.mp4 13.79 MB
14. Data Manipulation with R/8. Guide to Using Tidyr.mp4 47.1 MB
15. Data Visualization with R/1. Overview of ggplot2.mp4 11.99 MB
15. Data Visualization with R/10. ggplot2 Exercise Solutions.mp4 26.03 MB
15. Data Visualization with R/2. Histograms.mp4 45.61 MB
15. Data Visualization with R/3. Scatterplots.mp4 37.54 MB
15. Data Visualization with R/4. Barplots.mp4 16.79 MB
15. Data Visualization with R/5. Boxplots.mp4 14.08 MB
15. Data Visualization with R/6. 2 Variable Plotting.mp4 20.41 MB
15. Data Visualization with R/7. Coordinates and Faceting.mp4 24.08 MB
15. Data Visualization with R/8. Themes.mp4 11.24 MB
15. Data Visualization with R/9. ggplot2 Exercises.mp4 6.7 MB
16. Data Visualization Project/1. Data Visualization Project.mp4 11.61 MB
16. Data Visualization Project/2. Data Visualization Project - Solutions Walkthrough - Part 1.mp4 32.6 MB
16. Data Visualization Project/3. Data Visualization Project Solutions Walkthrough - Part 2.mp4 32.13 MB
17. Interactive Visualizations with Plotly/1. Overview of Plotly and Interactive Visualizations.mp4 33.53 MB
18. Capstone Data Project/1. Introduction to Capstone Project.mp4 34.95 MB
18. Capstone Data Project/2. Capstone Project Solutions Walkthrough.mp4 54.46 MB
19. Introduction to Machine Learning with R/2. Introduction to Machine Learning.mp4 48.5 MB
20. Machine Learning with R - Linear Regression/1. Introduction to Linear Regression.mp4 10.18 MB
20. Machine Learning with R - Linear Regression/2. Linear Regression with R - Part 1.mp4 46.94 MB
20. Machine Learning with R - Linear Regression/3. Linear Regression with R - Part 2.mp4 45.93 MB
20. Machine Learning with R - Linear Regression/4. Linear Regression with R - Part 3.mp4 22.79 MB
21. Machine Learning Project - Linear Regression/1. Introduction to Linear Regression Project.mp4 33.68 MB
21. Machine Learning Project - Linear Regression/2. ML - Linear Regression Project - Solutions Part 1.mp4 47.75 MB
21. Machine Learning Project - Linear Regression/3. ML - Linear Regression Project - Solutions Part 2.mp4 26.07 MB
22. Machine Learning with R - Logistic Regression/1. Introduction to Logistic Regression.mp4 19.85 MB
22. Machine Learning with R - Logistic Regression/2. Logistic Regression with R - Part 1.mp4 39.59 MB
22. Machine Learning with R - Logistic Regression/3. Logistic Regression with R - Part 2.mp4 40.93 MB
23. Machine Learning Project - Logistic Regression/1. Introduction to Logistic Regression Project.mp4 10.11 MB
23. Machine Learning Project - Logistic Regression/2. Logistic Regression Project Solutions - Part 1.mp4 47.41 MB
23. Machine Learning Project - Logistic Regression/3. Logistic Regression Project Solutions - Part 2.mp4 32.85 MB
23. Machine Learning Project - Logistic Regression/4. Logistic Regression Project - Solutions Part 3.mp4 32.16 MB
24. Machine Learning with R - K Nearest Neighbors/1. Introduction to K Nearest Neighbors.mp4 8.52 MB
24. Machine Learning with R - K Nearest Neighbors/2. K Nearest Neighbors with R.mp4 40.41 MB
25. Machine Learning Project - K Nearest Neighbors/1. Introduction K Nearest Neighbors Project.mp4 11.72 MB
25. Machine Learning Project - K Nearest Neighbors/2. K Nearest Neighbors Project Solutions.mp4 25.18 MB
26. Machine Learning with R - Decision Trees and Random Forests/1. Introduction to Tree Methods.mp4 11.26 MB
26. Machine Learning with R - Decision Trees and Random Forests/2. Decision Trees and Random Forests with R.mp4 28.82 MB
27. Machine Learning Project - Decision Trees and Random Forests/1. Introduction to Decision Trees and Random Forests Project.mp4 8.44 MB
27. Machine Learning Project - Decision Trees and Random Forests/2. Tree Methods Project Solutions - Part 1.mp4 33.42 MB
27. Machine Learning Project - Decision Trees and Random Forests/3. Tree Methods Project Solutions - Part 2.mp4 9.15 MB
28. Machine Learning with R - Support Vector Machines/1. Introduction to Support Vector Machines.mp4 7.97 MB
28. Machine Learning with R - Support Vector Machines/2. Support Vector Machines with R.mp4 32.98 MB
29. Machine Learning Project - Support Vector Machines/1. Introduction to SVM Project.mp4 9.33 MB
29. Machine Learning Project - Support Vector Machines/2. Support Vector Machines Project - Solutions Part 1.mp4 24.13 MB
29. Machine Learning Project - Support Vector Machines/3. Support Vector Machines Project - Solutions Part 2.mp4 21.03 MB
3. Windows Installation Set-Up/1. Windows Installation Procedure.mp4 17.76 MB
30. Machine Learning with R - K-means Clustering/1. Introduction to K-Means Clustering.mp4 8.58 MB
30. Machine Learning with R - K-means Clustering/2. K Means Clustering with R.mp4 19.2 MB
31. Machine Learning Project - K-means Clustering/1. Introduction to K Means Clustering Project.mp4 7.23 MB
31. Machine Learning Project - K-means Clustering/2. K Means Clustering Project - Solutions Walkthrough.mp4 32.96 MB
32. Machine Learning with R - Natural Language Processing/1. Introduction to Natural Language Processing.mp4 7.58 MB
32. Machine Learning with R - Natural Language Processing/2. Natural Language Processing with R - Part 1.mp4 10.44 MB
32. Machine Learning with R - Natural Language Processing/3. Natural Language Processing with R - Part 2.mp4 35.69 MB
33. Machine Learning with R - Neural Nets/1. Introduction to Neural Nets.mp4 11.22 MB
33. Machine Learning with R - Neural Nets/2. Neural Nets with R.mp4 46.27 MB
34. Machine Learning Project - Neural Nets/1. Introduction to Neural Nets Project.mp4 8.38 MB
34. Machine Learning Project - Neural Nets/2. Neural Nets Project - Solutions.mp4 20.61 MB
4. Mac OS Installation Set-Up/1. Mac OS Installation Procedure.mp4 20.84 MB
6. Development Environment Overview/1. Development Environment Overview.mp4 870.33 KB
6. Development Environment Overview/2. Course Notes.mp4 25.72 MB
6. Development Environment Overview/3. Guide to RStudio.mp4 28.32 MB
7. Introduction to R Basics/1. Introduction to R Basics.mp4 5.64 MB
7. Introduction to R Basics/10. R Basics Training Exercise.mp4 5.38 MB
7. Introduction to R Basics/11. R Basics Training Exercise - Solutions Walkthrough.mp4 12.79 MB
7. Introduction to R Basics/2. Arithmetic in R.mp4 7.7 MB
7. Introduction to R Basics/3. Variables.mp4 8.93 MB
7. Introduction to R Basics/4. R Basic Data Types.mp4 9.07 MB
7. Introduction to R Basics/5. Vector Basics.mp4 13.66 MB
7. Introduction to R Basics/6. Vector Operations.mp4 7.55 MB
7. Introduction to R Basics/7. Comparison Operators.mp4 10.71 MB
7. Introduction to R Basics/8. Vector Indexing and Slicing.mp4 16.07 MB
7. Introduction to R Basics/9. Getting Help with R and RStudio.mp4 5.63 MB
8. R Matrices/1. Introduction to R Matrices.mp4 1.46 MB
8. R Matrices/2. Creating a Matrix.mp4 18.64 MB
8. R Matrices/3. Matrix Arithmetic.mp4 7.79 MB
8. R Matrices/4. Matrix Operations.mp4 10.77 MB
8. R Matrices/5. Matrix Selection and Indexing.mp4 11.78 MB
8. R Matrices/6. Factor and Categorical Matrices.mp4 14.84 MB
8. R Matrices/7. Matrix Training Exercise.mp4 3.25 MB
8. R Matrices/8. Matrix Training Exercises - Solutions Walkthrough.mp4 24.63 MB
9. R Data Frames/1. Introduction to R Data Frames.mp4 1.36 MB
9. R Data Frames/2. Data Frame Basics.mp4 18.21 MB
9. R Data Frames/3. Data Frame Indexing and Selection.mp4 16.81 MB
9. R Data Frames/4. Overview of Data Frame Operations - Part 1.mp4 30.44 MB
9. R Data Frames/5. Overview of Data Frame Operations - Part 2.mp4 34.14 MB
9. R Data Frames/6. Data Frame Training Exercise.mp4 4.27 MB
9. R Data Frames/7. Data Frame Training Exercises - Solutions Walkthrough.mp4 28.97 MB
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