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[FreeCourseSite.com] Udemy - MATLAB Master Class Go from Beginner to Expert in MATLAB

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  3. Creat Time：2024-08-18
  4. Active Degree：17
  5. Last Active：2024-11-17
  6. File Tags：FreeCourseSite  com  Udemy  MATLAB  Master  Class  Go  from  Beginner  to  Expert  in  MATLAB  
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File List:

    [FreeCourseSite.com] Udemy - MATLAB Master Class Go from Beginner to Expert in MATLAB

  1. 31. Segment 3.5 Project Malware Analysis/5. Customizing code templates for completing Task 3, 4 and 5.vtt 176.04 MB
  2. 31. Segment 3.5 Project Malware Analysis/5. Customizing code templates for completing Task 3, 4 and 5.mp4 176.02 MB
  3. 30. Segment 3.4 Dimensionality Reduction/4. PCA in MATLAB (Part 2).mp4 154.05 MB
  4. 29. Segment 3.3.2 Hierarchical Clustering/3. Hierarchical Clustering Intuition (Part 2).mp4 148.93 MB
  5. 37. Segment 4.5 Project Selecting the Right Method for your Data/2. Selecting the right method (Part 1).mp4 145.91 MB
  6. 30. Segment 3.4 Dimensionality Reduction/3. PCA in MATLAB (Part 1).mp4 139.26 MB
  7. 28. Segment 3.3.1 K-Means/4. k-means in MATLAB (Part 2).mp4 125.36 MB
  8. 36. Segment 4.4 Feature Scaling and Data Discretization/3. Discretization using Equal width binning.mp4 121.33 MB
  9. 7. Segment 1.5 Interacting with MATLAB and Graphics/15. Processing text files.mp4 119.58 MB
  10. 35. Segment 4.3 Outlier Detection/5. Class specific box plots.mp4 118.49 MB
  11. 25. Segment 3.2.6 Ensembles/3. Customization options for Ensembles.mp4 114.60 MB
  12. 34. Segment 4.2 Dealing with Categorical Variables/4. Frequency based encoding4.mp4 114.49 MB
  13. 28. Segment 3.3.1 K-Means/3. k-means in MATLAB (Part 1).mp4 112.64 MB
  14. 33. Segment 4.1 Handling Missing Values/6. Random Value Imputation.mp4 110.00 MB
  15. 37. Segment 4.5 Project Selecting the Right Method for your Data/3. Selecting the right method (Part 2).mp4 105.66 MB
  16. 26. Segment 3.2.7 Performance Evaluation/3. Validation methods in MATLAB (Part 1).mp4 105.28 MB
  17. 20. Segment 3.2.1 K-Nearest Neighbor/2. KNN in MATLAB (Part 1).mp4 102.76 MB
  18. 20. Segment 3.2.1 K-Nearest Neighbor/3. KNN in MATLAB (Part 2).mp4 100.94 MB
  19. 11. Segment 1.9 Sharing your MATLAB Results/2. Sharing your results with live scripts.mp4 100.64 MB
  20. 35. Segment 4.3 Outlier Detection/8. Local Outlier Factor (Part 2).mp4 100.24 MB
  21. 22. Segment 3.2.3 Decision Trees/4. Customization Options for Decision Trees.mp4 100.08 MB
  22. 23. Segment 3.2.4 Support Vector Machines/4. Customization Options for SVM.mp4 99.69 MB
  23. 33. Segment 4.1 Handling Missing Values/5. Class specific mean and mode.mp4 97.39 MB
  24. 20. Segment 3.2.1 K-Nearest Neighbor/8. Customization options for KNN.mp4 97.22 MB
  25. 20. Segment 3.2.1 K-Nearest Neighbor/5. Explaining the code for visualization.mp4 93.60 MB
  26. 9. Segment 1.7 MATLAB Programming/5. While loops (when you don't know the number of iterations).mp4 89.92 MB
  27. 20. Segment 3.2.1 K-Nearest Neighbor/4. Visualizing the Decision Boundaries of KNN.mp4 89.65 MB
  28. 26. Segment 3.2.7 Performance Evaluation/4. Validation methods in MATLAB (Part 2).mp4 89.62 MB
  29. 4. Segment 1.2 Doing Basic Maths in MATLAB/12. Discretizing your data.mp4 89.18 MB
  30. 4. Segment 1.2 Doing Basic Maths in MATLAB/12. Discretizing your data.vtt 86.17 MB
  31. 35. Segment 4.3 Outlier Detection/6. Histograms for outliers.mp4 86.08 MB
  32. 23. Segment 3.2.4 Support Vector Machines/1. SVM Intuition.mp4 85.30 MB
  33. 7. Segment 1.5 Interacting with MATLAB and Graphics/7. Bar graphs.mp4 84.37 MB
  34. 18. Segment 3.1 Data Preprocessing/9. Dealing with Categorical Data (Part 1).mp4 83.12 MB
  35. 7. Segment 1.5 Interacting with MATLAB and Graphics/13. Manipulating Directory (Part 1).vtt 80.45 MB
  36. 7. Segment 1.5 Interacting with MATLAB and Graphics/13. Manipulating Directory (Part 1).mp4 80.44 MB
  37. 34. Segment 4.2 Dealing with Categorical Variables/2. Categorical data with no order.mp4 79.88 MB
  38. 9. Segment 1.7 MATLAB Programming/3. For loops for interating through your code.mp4 79.76 MB
  39. 33. Segment 4.1 Handling Missing Values/3. Using mean and mode.mp4 79.24 MB
  40. 7. Segment 1.5 Interacting with MATLAB and Graphics/4. Plotting data.mp4 78.71 MB
  41. 31. Segment 3.5 Project Malware Analysis/3. Customizing code templates for completing Task 1 and 2 (Part 1).mp4 78.29 MB
  42. 18. Segment 3.1 Data Preprocessing/6. Feature Scaling.mp4 77.69 MB
  43. 21. Segment 3.2.2 Naive Bayes/2. Naive Bayesain Intuition (Part 2).mp4 76.92 MB
  44. 18. Segment 3.1 Data Preprocessing/4. Removing Missing Data (Part 1).mp4 76.32 MB
  45. 18. Segment 3.1 Data Preprocessing/5. Removing Missing Data (Part 2).mp4 74.03 MB
  46. 7. Segment 1.5 Interacting with MATLAB and Graphics/6. More on plotting options.mp4 73.47 MB
  47. 6. Segment 1.4 Advance Math Functions with Symbolic Data Type/4. Solving Equations.mp4 73.44 MB
  48. 34. Segment 4.2 Dealing with Categorical Variables/5. Target based encoding.mp4 73.16 MB
  49. 22. Segment 3.2.3 Decision Trees/3. Visualizing Decision Trees using the View Function.mp4 72.16 MB
  50. 35. Segment 4.3 Outlier Detection/2. 3 sigma rule with deletion strategy.mp4 72.00 MB
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