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[FreeCourseSite com] Udemy - Complete Machine Learning with R Studio - ML for 2023

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Report [FreeCourseSite com] Udemy - Complete Machine Learning with R Studio - ML for 2023
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Title: UdemyGroup: NOGRPSource: Udemy
Info Hash
C6D7044BEB36D6EF59890B0FDEA52F71A30C9BAB
Source
Unverified
Total Size
5.49 GB
Total Files
100
Seeders
0
Leechers
1
Health
Score
1
Type
Bookware

File List

FileSize
0. Websites you may like/[CourseClub.Me].url122 B
0. Websites you may like/[FreeCourseSite.com].url127 B
0. Websites you may like/[GigaCourse.Com].url49 B
1. Welcome to the course/1. Introduction.mp421.19 MB
1. Welcome to the course/1. Introduction.srt2.88 KB
1. Welcome to the course/2. Course Resources.html346 B
10. Linear Discriminant Analysis/1. Linear Discriminant Analysis.mp448.38 MB
10. Linear Discriminant Analysis/1. Linear Discriminant Analysis.srt12.29 KB
10. Linear Discriminant Analysis/2. Linear Discriminant Analysis in R.mp489.5 MB
10. Linear Discriminant Analysis/2. Linear Discriminant Analysis in R.srt10.5 KB
11. K-Nearest Neighbors/0. Websites you may like/[CourseClub.Me].url122 B
11. K-Nearest Neighbors/0. Websites you may like/[FreeCourseSite.com].url127 B
11. K-Nearest Neighbors/0. Websites you may like/[GigaCourse.Com].url49 B
11. K-Nearest Neighbors/1. Test-Train Split.mp445.37 MB
11. K-Nearest Neighbors/1. Test-Train Split.srt10.97 KB
11. K-Nearest Neighbors/2. Test-Train Split in R.mp490.17 MB
11. K-Nearest Neighbors/2. Test-Train Split in R.srt10.27 KB
11. K-Nearest Neighbors/3. K-Nearest Neighbors classifier.mp483.27 MB
11. K-Nearest Neighbors/3. K-Nearest Neighbors classifier.srt10.33 KB
11. K-Nearest Neighbors/4. K-Nearest Neighbors in R.mp479.65 MB
11. K-Nearest Neighbors/4. K-Nearest Neighbors in R.srt9.36 KB
12. Comparing results from 3 models/1. Understanding the results of classification models.mp445.8 MB
12. Comparing results from 3 models/1. Understanding the results of classification models.srt7.8 KB
12. Comparing results from 3 models/2. Summary of the three models.mp425.13 MB
12. Comparing results from 3 models/2. Summary of the three models.srt6.2 KB
13. Simple Decision Trees/1. Introduction to Decision trees.mp444.76 MB
13. Simple Decision Trees/1. Introduction to Decision trees.srt4.57 KB
13. Simple Decision Trees/10. Pruning a Tree in R.mp496.97 MB
13. Simple Decision Trees/10. Pruning a Tree in R.srt11.8 KB
13. Simple Decision Trees/2. Basics of Decision Trees.mp450.55 MB
13. Simple Decision Trees/2. Basics of Decision Trees.srt13.19 KB
13. Simple Decision Trees/3. Understanding a Regression Tree.mp452.16 MB
13. Simple Decision Trees/3. Understanding a Regression Tree.srt13.97 KB
13. Simple Decision Trees/4. The stopping criteria for controlling tree growth.mp416.5 MB
13. Simple Decision Trees/4. The stopping criteria for controlling tree growth.srt4.29 KB
13. Simple Decision Trees/5. Course resources Notes and Datasets.html79 B
13. Simple Decision Trees/5.1 Files_Dt_r.zip2.07 MB
13. Simple Decision Trees/6. Importing the Data set into R.mp451.84 MB
13. Simple Decision Trees/6. Importing the Data set into R.srt8.75 KB
13. Simple Decision Trees/7. Splitting Data into Test and Train Set in R.mp452.57 MB
13. Simple Decision Trees/7. Splitting Data into Test and Train Set in R.srt7.29 KB
13. Simple Decision Trees/8. Building a Regression Tree in R.mp4121.88 MB
13. Simple Decision Trees/8. Building a Regression Tree in R.srt18.88 KB
13. Simple Decision Trees/9. Pruning a tree.mp422.23 MB
13. Simple Decision Trees/9. Pruning a tree.srt5.42 KB
14. Simple Classification Tree/1. Classification Trees.mp433.04 MB
14. Simple Classification Tree/1. Classification Trees.srt8.11 KB
14. Simple Classification Tree/2. The Data set for Classification problem.mp421.95 MB
14. Simple Classification Tree/2. The Data set for Classification problem.srt2.36 KB
14. Simple Classification Tree/3. Building a classification Tree in R.mp4100.1 MB
14. Simple Classification Tree/3. Building a classification Tree in R.srt11.88 KB
14. Simple Classification Tree/4. Advantages and Disadvantages of Decision Trees.mp47.75 MB
14. Simple Classification Tree/4. Advantages and Disadvantages of Decision Trees.srt2.16 KB
15. Ensemble technique 1 - Bagging/1. Bagging.mp432.33 MB
15. Ensemble technique 1 - Bagging/1. Bagging.srt7.58 KB
15. Ensemble technique 1 - Bagging/2. Bagging in R.mp469.33 MB
15. Ensemble technique 1 - Bagging/2. Bagging in R.srt8.16 KB
16. Ensemble technique 2 - Random Forest/1. Random Forest technique.mp421.42 MB
16. Ensemble technique 2 - Random Forest/1. Random Forest technique.srt5.07 KB
16. Ensemble technique 2 - Random Forest/2. Random Forest in R.mp437.44 MB
16. Ensemble technique 2 - Random Forest/2. Random Forest in R.srt5.58 KB
17. Ensemble technique 3 - GBM, AdaBoost and XGBoost/1. Boosting techniques.mp434.37 MB
17. Ensemble technique 3 - GBM, AdaBoost and XGBoost/1. Boosting techniques.srt9.58 KB
17. Ensemble technique 3 - GBM, AdaBoost and XGBoost/2. Gradient Boosting in R.mp478.56 MB
17. Ensemble technique 3 - GBM, AdaBoost and XGBoost/2. Gradient Boosting in R.srt9.62 KB
17. Ensemble technique 3 - GBM, AdaBoost and XGBoost/3. AdaBoosting in R.mp4102.98 MB
17. Ensemble technique 3 - GBM, AdaBoost and XGBoost/3. AdaBoosting in R.srt12.24 KB
17. Ensemble technique 3 - GBM, AdaBoost and XGBoost/4. XGBoosting in R.mp4186.46 MB
17. Ensemble technique 3 - GBM, AdaBoost and XGBoost/4. XGBoosting in R.srt21.1 KB
18. Support Vector Machines/1. Introduction to SVM.mp421.61 MB
18. Support Vector Machines/1. Introduction to SVM.srt3.15 KB
18. Support Vector Machines/2. The Concept of a Hyperplane.mp435.33 MB
18. Support Vector Machines/2. The Concept of a Hyperplane.srt6.22 KB
18. Support Vector Machines/3. Maximum Margin Classifier.mp426.17 MB
18. Support Vector Machines/3. Maximum Margin Classifier.srt4.41 KB
18. Support Vector Machines/4. Limitations of Maximum Margin Classifier.mp412.52 MB
18. Support Vector Machines/4. Limitations of Maximum Margin Classifier.srt3.12 KB
19. Support Vector Classifier/1. Support Vector classifiers.mp464.12 MB
19. Support Vector Classifier/1. Support Vector classifiers.srt12.46 KB
19. Support Vector Classifier/2. Limitations of Support Vector Classifiers.mp412.98 MB
19. Support Vector Classifier/2. Limitations of Support Vector Classifiers.srt1.9 KB
2. Setting up R Studio and R crash course/1. Installing R and R studio.mp440.78 MB
2. Setting up R Studio and R crash course/1. Installing R and R studio.srt7.37 KB
2. Setting up R Studio and R crash course/2. This is a milestone!.mp420.69 MB
2. Setting up R Studio and R crash course/2. This is a milestone!.srt3.94 KB
2. Setting up R Studio and R crash course/3. Basics of R and R studio.mp447.96 MB
2. Setting up R Studio and R crash course/3. Basics of R and R studio.srt14.35 KB
2. Setting up R Studio and R crash course/4. Packages in R.mp498.48 MB
2. Setting up R Studio and R crash course/4. Packages in R.srt14.6 KB
2. Setting up R Studio and R crash course/5. Inputting data part 1 Inbuilt datasets of R.mp446.14 MB
2. Setting up R Studio and R crash course/5. Inputting data part 1 Inbuilt datasets of R.srt5.61 KB
2. Setting up R Studio and R crash course/6. Inputting data part 2 Manual data entry.mp430.79 MB
2. Setting up R Studio and R crash course/6. Inputting data part 2 Manual data entry.srt3.68 KB
2. Setting up R Studio and R crash course/7. Inputting data part 3 Importing from CSV or Text files.mp468.97 MB
2. Setting up R Studio and R crash course/7. Inputting data part 3 Importing from CSV or Text files.srt8.38 KB
2. Setting up R Studio and R crash course/7.1 Customer.csv64.02 KB
2. Setting up R Studio and R crash course/7.2 Product.txt139.48 KB
2. Setting up R Studio and R crash course/8. Creating Barplots in R.mp4117.22 MB
2. Setting up R Studio and R crash course/8. Creating Barplots in R.srt18.34 KB
2. Setting up R Studio and R crash course/9. Creating Histograms in R.mp451.34 MB

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