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

• [GigaCourse.Com] Udemy - Machine Learning & Deep Learning in Python & R
• 1. Introduction/1. Introduction.mp4 29.4 MB
• 1. Introduction/1. Introduction.srt 4.6 KB
• 1. Introduction/2. Course Resources.html 370 B
• 10. Linear Discriminant Analysis (LDA)/1. Linear Discriminant Analysis.mp4 41 MB
• 10. Linear Discriminant Analysis (LDA)/1. Linear Discriminant Analysis.srt 12.3 KB
• 10. Linear Discriminant Analysis (LDA)/2. LDA in Python.mp4 11.4 MB
• 10. Linear Discriminant Analysis (LDA)/2. LDA in Python.srt 2.6 KB
• 10. Linear Discriminant Analysis (LDA)/3. Linear Discriminant Analysis in R.mp4 74.3 MB
• 10. Linear Discriminant Analysis (LDA)/3. Linear Discriminant Analysis in R.srt 10.5 KB
• 11. K-Nearest Neighbors classifier/1. Test-Train Split.mp4 39.3 MB
• 11. K-Nearest Neighbors classifier/1. Test-Train Split.srt 11 KB
• 11. K-Nearest Neighbors classifier/2. Test-Train Split in Python.mp4 33.1 MB
• 11. K-Nearest Neighbors classifier/2. Test-Train Split in Python.srt 7.6 KB
• 11. K-Nearest Neighbors classifier/3. Test-Train Split in R.mp4 74.2 MB
• 11. K-Nearest Neighbors classifier/3. Test-Train Split in R.srt 10.3 KB
• 11. K-Nearest Neighbors classifier/4. K-Nearest Neighbors classifier.mp4 75.4 MB
• 11. K-Nearest Neighbors classifier/4. K-Nearest Neighbors classifier.srt 10.3 KB
• 11. K-Nearest Neighbors classifier/5. K-Nearest Neighbors in Python Part 1.mp4 37.2 MB
• 11. K-Nearest Neighbors classifier/5. K-Nearest Neighbors in Python Part 1.srt 5.9 KB
• 11. K-Nearest Neighbors classifier/6. K-Nearest Neighbors in Python Part 2.mp4 42.4 MB
• 11. K-Nearest Neighbors classifier/6. K-Nearest Neighbors in Python Part 2.srt 6.9 KB
• 11. K-Nearest Neighbors classifier/7. K-Nearest Neighbors in R.mp4 64.9 MB
• 11. K-Nearest Neighbors classifier/7. K-Nearest Neighbors in R.srt 9.4 KB
• 12. Comparing results from 3 models/1. Understanding the results of classification models.mp4 41.6 MB
• 12. Comparing results from 3 models/1. Understanding the results of classification models.srt 7.8 KB
• 12. Comparing results from 3 models/2. Summary of the three models.mp4 22.2 MB
• 12. Comparing results from 3 models/2. Summary of the three models.srt 6.2 KB
• 13. Simple Decision Trees/1. Introduction to Decision trees.mp4 44.8 MB
• 13. Simple Decision Trees/1. Introduction to Decision trees.srt 4.7 KB
• 13. Simple Decision Trees/10. Test-Train split in Python.mp4 25.6 MB
• 13. Simple Decision Trees/10. Test-Train split in Python.srt 5.3 KB
• 13. Simple Decision Trees/11. Splitting Data into Test and Train Set in R.mp4 44 MB
• 13. Simple Decision Trees/11. Splitting Data into Test and Train Set in R.srt 7.3 KB
• 13. Simple Decision Trees/12. Creating Decision tree in Python.mp4 17.9 MB
• 13. Simple Decision Trees/12. Creating Decision tree in Python.srt 4.3 KB
• 13. Simple Decision Trees/13. Building a Regression Tree in R.mp4 103.3 MB
• 13. Simple Decision Trees/13. Building a Regression Tree in R.srt 18.9 KB
• 13. Simple Decision Trees/14. Evaluating model performance in Python.mp4 16.4 MB
• 13. Simple Decision Trees/14. Evaluating model performance in Python.srt 4.8 KB
• 13. Simple Decision Trees/15. Plotting decision tree in Python.mp4 21.5 MB
• 13. Simple Decision Trees/15. Plotting decision tree in Python.srt 5.5 KB
• 13. Simple Decision Trees/16. Pruning a tree.mp4 18.5 MB
• 13. Simple Decision Trees/16. Pruning a tree.srt 5.4 KB
• 13. Simple Decision Trees/17. Pruning a tree in Python.mp4 73.5 MB
• 13. Simple Decision Trees/17. Pruning a tree in Python.srt 11.1 KB
• 13. Simple Decision Trees/18. Pruning a Tree in R.mp4 82.1 MB
• 13. Simple Decision Trees/18. Pruning a Tree in R.srt 11.8 KB
• 13. Simple Decision Trees/2. Basics of Decision Trees.mp4 42.7 MB
• 13. Simple Decision Trees/2. Basics of Decision Trees.srt 13.2 KB
• 13. Simple Decision Trees/3. Understanding a Regression Tree.mp4 43.7 MB
• 13. Simple Decision Trees/3. Understanding a Regression Tree.srt 14 KB
• 13. Simple Decision Trees/4. The stopping criteria for controlling tree growth.mp4 14 MB
• 13. Simple Decision Trees/4. The stopping criteria for controlling tree growth.srt 4.3 KB
• 13. Simple Decision Trees/5. Importing the Data set into Python.mp4 15.9 MB
• 13. Simple Decision Trees/5. Importing the Data set into Python.srt 3.1 KB
• 13. Simple Decision Trees/6. Importing the Data set into R.mp4 43.7 MB
• 13. Simple Decision Trees/6. Importing the Data set into R.srt 8.8 KB
• 13. Simple Decision Trees/7. Missing value treatment in Python.mp4 12.9 MB
• 13. Simple Decision Trees/7. Missing value treatment in Python.srt 2.3 KB
• 13. Simple Decision Trees/8. Dummy Variable creation in Python.mp4 24.6 MB
• 13. Simple Decision Trees/8. Dummy Variable creation in Python.srt 4.5 KB
• 13. Simple Decision Trees/9. Dependent- Independent Data split in Python.mp4 16.9 MB
• 13. Simple Decision Trees/9. Dependent- Independent Data split in Python.srt 3.8 KB
• 14. Simple Classification Tree/1. Classification tree.mp4 28.2 MB
• 14. Simple Classification Tree/1. Classification tree.srt 8.1 KB
• 14. Simple Classification Tree/2. The Data set for Classification problem.mp4 18.6 MB
• 14. Simple Classification Tree/2. The Data set for Classification problem.srt 2.4 KB
• 14. Simple Classification Tree/3. Classification tree in Python Preprocessing.mp4 45.4 MB
• 14. Simple Classification Tree/3. Classification tree in Python Preprocessing.srt 9.1 KB
• 14. Simple Classification Tree/4. Classification tree in Python Training.mp4 82.7 MB
• 14. Simple Classification Tree/4. Classification tree in Python Training.srt 14.9 KB
• 14. Simple Classification Tree/5. Building a classification Tree in R.mp4 85.1 MB
• 14. Simple Classification Tree/5. Building a classification Tree in R.srt 11.9 KB
• 14. Simple Classification Tree/6. Advantages and Disadvantages of Decision Trees.mp4 6.9 MB
• 14. Simple Classification Tree/6. Advantages and Disadvantages of Decision Trees.srt 2.2 KB
• 15. Ensemble technique 1 - Bagging/1. Ensemble technique 1 - Bagging.mp4 28.1 MB
• 15. Ensemble technique 1 - Bagging/1. Ensemble technique 1 - Bagging.srt 7.6 KB
• 15. Ensemble technique 1 - Bagging/2. Ensemble technique 1 - Bagging in Python.mp4 77.3 MB
• 15. Ensemble technique 1 - Bagging/2. Ensemble technique 1 - Bagging in Python.srt 12.6 KB
• 15. Ensemble technique 1 - Bagging/3. Bagging in R.mp4 59 MB
• 15. Ensemble technique 1 - Bagging/3. Bagging in R.srt 8.2 KB
• 16. Ensemble technique 2 - Random Forests/1. Ensemble technique 2 - Random Forests.mp4 18.2 MB
• 16. Ensemble technique 2 - Random Forests/1. Ensemble technique 2 - Random Forests.srt 5.1 KB
• 16. Ensemble technique 2 - Random Forests/2. Ensemble technique 2 - Random Forests in Python.mp4 46.7 MB
• 16. Ensemble technique 2 - Random Forests/2. Ensemble technique 2 - Random Forests in Python.srt 6.9 KB
• 16. Ensemble technique 2 - Random Forests/3. Using Grid Search in Python.mp4 80.7 MB
• 16. Ensemble technique 2 - Random Forests/3. Using Grid Search in Python.srt 14 KB
• 16. Ensemble technique 2 - Random Forests/4. Random Forest in R.mp4 30.7 MB
• 16. Ensemble technique 2 - Random Forests/4. Random Forest in R.srt 5.6 KB
• 17. Ensemble technique 3 - Boosting/1. Boosting.mp4 30.6 MB
• 17. Ensemble technique 3 - Boosting/1. Boosting.srt 9.6 KB
• 17. Ensemble technique 3 - Boosting/2. Ensemble technique 3a - Boosting in Python.mp4 39.9 MB
• 17. Ensemble technique 3 - Boosting/2. Ensemble technique 3a - Boosting in Python.srt 5.6 KB
• 17. Ensemble technique 3 - Boosting/3. Gradient Boosting in R.mp4 69.1 MB
• 17. Ensemble technique 3 - Boosting/3. Gradient Boosting in R.srt 9.6 KB
• 17. Ensemble technique 3 - Boosting/4. Ensemble technique 3b - AdaBoost in Python.mp4 30.5 MB
• 17. Ensemble technique 3 - Boosting/4. Ensemble technique 3b - AdaBoost in Python.srt 4.5 KB

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