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[GigaCourse Com] Udemy - Machine Learning & Deep Learning in Python & R

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Report [GigaCourse Com] Udemy - Machine Learning & Deep Learning in Python & R
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Title: UdemyGroup: NOGRPSource: Udemy
Info Hash
3ADEC4CA542730DF24B2184E3C5DEAEE6E240A56
Source
Unverified
Total Size
12.55 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/[GigaCourse.Com].url49 B
1. Introduction/1. Introduction.mp429.39 MB
1. Introduction/1. Introduction.srt4.64 KB
1. Introduction/2. Course Resources.html370 B
10. Linear Discriminant Analysis (LDA)/1. Linear Discriminant Analysis.mp440.96 MB
10. Linear Discriminant Analysis (LDA)/1. Linear Discriminant Analysis.srt12.29 KB
10. Linear Discriminant Analysis (LDA)/2. LDA in Python.mp411.4 MB
10. Linear Discriminant Analysis (LDA)/2. LDA in Python.srt2.58 KB
10. Linear Discriminant Analysis (LDA)/3. Linear Discriminant Analysis in R.mp474.35 MB
10. Linear Discriminant Analysis (LDA)/3. Linear Discriminant Analysis in R.srt10.5 KB
11. K-Nearest Neighbors classifier/1. Test-Train Split.mp439.3 MB
11. K-Nearest Neighbors classifier/1. Test-Train Split.srt10.97 KB
11. K-Nearest Neighbors classifier/2. Test-Train Split in Python.mp433.1 MB
11. K-Nearest Neighbors classifier/2. Test-Train Split in Python.srt7.6 KB
11. K-Nearest Neighbors classifier/3. Test-Train Split in R.mp474.23 MB
11. K-Nearest Neighbors classifier/3. Test-Train Split in R.srt10.27 KB
11. K-Nearest Neighbors classifier/4. K-Nearest Neighbors classifier.mp475.42 MB
11. K-Nearest Neighbors classifier/4. K-Nearest Neighbors classifier.srt10.33 KB
11. K-Nearest Neighbors classifier/5. K-Nearest Neighbors in Python Part 1.mp437.23 MB
11. K-Nearest Neighbors classifier/5. K-Nearest Neighbors in Python Part 1.srt5.85 KB
11. K-Nearest Neighbors classifier/6. K-Nearest Neighbors in Python Part 2.mp442.36 MB
11. K-Nearest Neighbors classifier/6. K-Nearest Neighbors in Python Part 2.srt6.9 KB
11. K-Nearest Neighbors classifier/7. K-Nearest Neighbors in R.mp464.85 MB
11. K-Nearest Neighbors classifier/7. K-Nearest Neighbors in R.srt9.36 KB
12. Comparing results from 3 models/1. Understanding the results of classification models.mp441.64 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.mp422.21 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.mp444.78 MB
13. Simple Decision Trees/1. Introduction to Decision trees.srt4.74 KB
13. Simple Decision Trees/10. Test-Train split in Python.mp425.62 MB
13. Simple Decision Trees/10. Test-Train split in Python.srt5.29 KB
13. Simple Decision Trees/11. Splitting Data into Test and Train Set in R.mp443.97 MB
13. Simple Decision Trees/11. Splitting Data into Test and Train Set in R.srt7.29 KB
13. Simple Decision Trees/12. Creating Decision tree in Python.mp417.87 MB
13. Simple Decision Trees/12. Creating Decision tree in Python.srt4.34 KB
13. Simple Decision Trees/13. Building a Regression Tree in R.mp4103.33 MB
13. Simple Decision Trees/13. Building a Regression Tree in R.srt18.88 KB
13. Simple Decision Trees/14. Evaluating model performance in Python.mp416.44 MB
13. Simple Decision Trees/14. Evaluating model performance in Python.srt4.81 KB
13. Simple Decision Trees/15. Plotting decision tree in Python.mp421.48 MB
13. Simple Decision Trees/15. Plotting decision tree in Python.srt5.48 KB
13. Simple Decision Trees/16. Pruning a tree.mp418.46 MB
13. Simple Decision Trees/16. Pruning a tree.srt5.42 KB
13. Simple Decision Trees/17. Pruning a tree in Python.mp473.5 MB
13. Simple Decision Trees/17. Pruning a tree in Python.srt11.06 KB
13. Simple Decision Trees/18. Pruning a Tree in R.mp482.09 MB
13. Simple Decision Trees/18. Pruning a Tree in R.srt11.8 KB
13. Simple Decision Trees/2. Basics of Decision Trees.mp442.65 MB
13. Simple Decision Trees/2. Basics of Decision Trees.srt13.19 KB
13. Simple Decision Trees/3. Understanding a Regression Tree.mp443.73 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.mp413.97 MB
13. Simple Decision Trees/4. The stopping criteria for controlling tree growth.srt4.29 KB
13. Simple Decision Trees/5. Importing the Data set into Python.mp415.86 MB
13. Simple Decision Trees/5. Importing the Data set into Python.srt3.12 KB
13. Simple Decision Trees/6. Importing the Data set into R.mp443.7 MB
13. Simple Decision Trees/6. Importing the Data set into R.srt8.75 KB
13. Simple Decision Trees/7. Missing value treatment in Python.mp412.94 MB
13. Simple Decision Trees/7. Missing value treatment in Python.srt2.32 KB
13. Simple Decision Trees/8. Dummy Variable creation in Python.mp424.57 MB
13. Simple Decision Trees/8. Dummy Variable creation in Python.srt4.49 KB
13. Simple Decision Trees/9. Dependent- Independent Data split in Python.mp416.87 MB
13. Simple Decision Trees/9. Dependent- Independent Data split in Python.srt3.82 KB
14. Simple Classification Tree/1. Classification tree.mp428.2 MB
14. Simple Classification Tree/1. Classification tree.srt8.11 KB
14. Simple Classification Tree/2. The Data set for Classification problem.mp418.57 MB
14. Simple Classification Tree/2. The Data set for Classification problem.srt2.36 KB
14. Simple Classification Tree/3. Classification tree in Python Preprocessing.mp445.39 MB
14. Simple Classification Tree/3. Classification tree in Python Preprocessing.srt9.15 KB
14. Simple Classification Tree/4. Classification tree in Python Training.mp482.71 MB
14. Simple Classification Tree/4. Classification tree in Python Training.srt14.88 KB
14. Simple Classification Tree/5. Building a classification Tree in R.mp485.11 MB
14. Simple Classification Tree/5. Building a classification Tree in R.srt11.88 KB
14. Simple Classification Tree/6. Advantages and Disadvantages of Decision Trees.mp46.86 MB
14. Simple Classification Tree/6. Advantages and Disadvantages of Decision Trees.srt2.16 KB
15. Ensemble technique 1 - Bagging/1. Ensemble technique 1 - Bagging.mp428.14 MB
15. Ensemble technique 1 - Bagging/1. Ensemble technique 1 - Bagging.srt7.58 KB
15. Ensemble technique 1 - Bagging/2. Ensemble technique 1 - Bagging in Python.mp477.31 MB
15. Ensemble technique 1 - Bagging/2. Ensemble technique 1 - Bagging in Python.srt12.61 KB
15. Ensemble technique 1 - Bagging/3. Bagging in R.mp458.96 MB
15. Ensemble technique 1 - Bagging/3. Bagging in R.srt8.16 KB
16. Ensemble technique 2 - Random Forests/1. Ensemble technique 2 - Random Forests.mp418.2 MB
16. Ensemble technique 2 - Random Forests/1. Ensemble technique 2 - Random Forests.srt5.07 KB
16. Ensemble technique 2 - Random Forests/2. Ensemble technique 2 - Random Forests in Python.mp446.7 MB
16. Ensemble technique 2 - Random Forests/2. Ensemble technique 2 - Random Forests in Python.srt6.9 KB
16. Ensemble technique 2 - Random Forests/3. Using Grid Search in Python.mp480.66 MB
16. Ensemble technique 2 - Random Forests/3. Using Grid Search in Python.srt14.05 KB
16. Ensemble technique 2 - Random Forests/4. Random Forest in R.mp430.72 MB
16. Ensemble technique 2 - Random Forests/4. Random Forest in R.srt5.58 KB
17. Ensemble technique 3 - Boosting/1. Boosting.mp430.58 MB
17. Ensemble technique 3 - Boosting/1. Boosting.srt9.58 KB
17. Ensemble technique 3 - Boosting/2. Ensemble technique 3a - Boosting in Python.mp439.87 MB
17. Ensemble technique 3 - Boosting/2. Ensemble technique 3a - Boosting in Python.srt5.61 KB
17. Ensemble technique 3 - Boosting/3. Gradient Boosting in R.mp469.09 MB
17. Ensemble technique 3 - Boosting/3. Gradient Boosting in R.srt9.62 KB
17. Ensemble technique 3 - Boosting/4. Ensemble technique 3b - AdaBoost in Python.mp430.53 MB
17. Ensemble technique 3 - Boosting/4. Ensemble technique 3b - AdaBoost in Python.srt4.55 KB
17. Ensemble technique 3 - Boosting/5. AdaBoosting in R.mp488.68 MB

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