Filename | Size |
| 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 |