| 31. Segment 3.5 Project Malware Analysis/5. Customizing code templates for completing Task 3, 4 and 5.vtt | 171.91 MB |
| 31. Segment 3.5 Project Malware Analysis/5. Customizing code templates for completing Task 3, 4 and 5.mp4 | 171.89 MB |
| 30. Segment 3.4 Dimensionality Reduction/4. PCA in MATLAB (Part 2).mp4 | 150.44 MB |
| 29. Segment 3.3.2 Hierarchical Clustering/3. Hierarchical Clustering Intuition (Part 2).mp4 | 145.44 MB |
| 37. Segment 4.5 Project Selecting the Right Method for your Data/2. Selecting the right method (Part 1).mp4 | 142.49 MB |
| 30. Segment 3.4 Dimensionality Reduction/3. PCA in MATLAB (Part 1).mp4 | 136 MB |
| 28. Segment 3.3.1 K-Means/4. k-means in MATLAB (Part 2).mp4 | 122.42 MB |
| 36. Segment 4.4 Feature Scaling and Data Discretization/3. Discretization using Equal width binning.mp4 | 118.49 MB |
| 7. Segment 1.5 Interacting with MATLAB and Graphics/15. Processing text files.mp4 | 116.77 MB |
| 35. Segment 4.3 Outlier Detection/5. Class specific box plots.mp4 | 115.71 MB |
| 25. Segment 3.2.6 Ensembles/3. Customization options for Ensembles.mp4 | 111.92 MB |
| 34. Segment 4.2 Dealing with Categorical Variables/4. Frequency based encoding4.mp4 | 111.81 MB |
| 28. Segment 3.3.1 K-Means/3. k-means in MATLAB (Part 1).mp4 | 110 MB |
| 33. Segment 4.1 Handling Missing Values/6. Random Value Imputation.mp4 | 107.42 MB |
| 37. Segment 4.5 Project Selecting the Right Method for your Data/3. Selecting the right method (Part 2).mp4 | 103.19 MB |
| 26. Segment 3.2.7 Performance Evaluation/3. Validation methods in MATLAB (Part 1).mp4 | 102.81 MB |
| 20. Segment 3.2.1 K-Nearest Neighbor/2. KNN in MATLAB (Part 1).mp4 | 100.35 MB |
| 20. Segment 3.2.1 K-Nearest Neighbor/3. KNN in MATLAB (Part 2).mp4 | 98.57 MB |
| 11. Segment 1.9 Sharing your MATLAB Results/2. Sharing your results with live scripts.mp4 | 98.29 MB |
| 35. Segment 4.3 Outlier Detection/8. Local Outlier Factor (Part 2).mp4 | 97.89 MB |
| 22. Segment 3.2.3 Decision Trees/4. Customization Options for Decision Trees.mp4 | 97.74 MB |
| 23. Segment 3.2.4 Support Vector Machines/4. Customization Options for SVM.mp4 | 97.36 MB |
| 33. Segment 4.1 Handling Missing Values/5. Class specific mean and mode.mp4 | 95.11 MB |
| 20. Segment 3.2.1 K-Nearest Neighbor/8. Customization options for KNN.mp4 | 94.94 MB |
| 20. Segment 3.2.1 K-Nearest Neighbor/5. Explaining the code for visualization.mp4 | 91.4 MB |
| 9. Segment 1.7 MATLAB Programming/5. While loops (when you don't know the number of iterations).mp4 | 87.81 MB |
| 20. Segment 3.2.1 K-Nearest Neighbor/4. Visualizing the Decision Boundaries of KNN.mp4 | 87.55 MB |
| 26. Segment 3.2.7 Performance Evaluation/4. Validation methods in MATLAB (Part 2).mp4 | 87.52 MB |
| 4. Segment 1.2 Doing Basic Maths in MATLAB/12. Discretizing your data.mp4 | 87.09 MB |
| 4. Segment 1.2 Doing Basic Maths in MATLAB/12. Discretizing your data.vtt | 84.15 MB |
| 35. Segment 4.3 Outlier Detection/6. Histograms for outliers.mp4 | 84.06 MB |
| 23. Segment 3.2.4 Support Vector Machines/1. SVM Intuition.mp4 | 83.31 MB |
| 7. Segment 1.5 Interacting with MATLAB and Graphics/7. Bar graphs.mp4 | 82.4 MB |
| 18. Segment 3.1 Data Preprocessing/9. Dealing with Categorical Data (Part 1).mp4 | 81.17 MB |
| 7. Segment 1.5 Interacting with MATLAB and Graphics/13. Manipulating Directory (Part 1).vtt | 78.56 MB |
| 7. Segment 1.5 Interacting with MATLAB and Graphics/13. Manipulating Directory (Part 1).mp4 | 78.55 MB |
| 34. Segment 4.2 Dealing with Categorical Variables/2. Categorical data with no order.mp4 | 78 MB |
| 9. Segment 1.7 MATLAB Programming/3. For loops for interating through your code.mp4 | 77.9 MB |
| 33. Segment 4.1 Handling Missing Values/3. Using mean and mode.mp4 | 77.38 MB |
| 7. Segment 1.5 Interacting with MATLAB and Graphics/4. Plotting data.mp4 | 76.86 MB |
| 31. Segment 3.5 Project Malware Analysis/3. Customizing code templates for completing Task 1 and 2 (Part 1).mp4 | 76.45 MB |
| 18. Segment 3.1 Data Preprocessing/6. Feature Scaling.mp4 | 75.87 MB |
| 21. Segment 3.2.2 Naive Bayes/2. Naive Bayesain Intuition (Part 2).mp4 | 75.12 MB |
| 18. Segment 3.1 Data Preprocessing/4. Removing Missing Data (Part 1).mp4 | 74.54 MB |
| 18. Segment 3.1 Data Preprocessing/5. Removing Missing Data (Part 2).mp4 | 72.3 MB |
| 7. Segment 1.5 Interacting with MATLAB and Graphics/6. More on plotting options.mp4 | 71.75 MB |
| 6. Segment 1.4 Advance Math Functions with Symbolic Data Type/4. Solving Equations.mp4 | 71.72 MB |
| 34. Segment 4.2 Dealing with Categorical Variables/5. Target based encoding.mp4 | 71.45 MB |
| 22. Segment 3.2.3 Decision Trees/3. Visualizing Decision Trees using the View Function.mp4 | 70.47 MB |
| 35. Segment 4.3 Outlier Detection/2. 3 sigma rule with deletion strategy.mp4 | 70.31 MB |