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

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文件数目：419个文件
文件大小：10.06 GB
收录时间：2019-09-08
访问次数：11
相关内容：Udemy MATLAB Master Class from Beginner Expert

文件meta

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