[DesireCourse Com] Udemy - Ensemble Machine Learning in Python Random Forest, AdaBoost


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Torrent File Content (85 files)


[DesireCourse.Com] Udemy - Ensemble Machine Learning in Python Random Forest, AdaBoost
    1. Get Started
          1. Outline and Motivation.mp4 -
7.2 MB

          1. Outline and Motivation.vtt -
6.02 KB

          2. Where to get the Code and Data.mp4 -
3.36 MB

          2. Where to get the Code and Data.vtt -
2.55 KB

          3. All Data is the Same.mp4 -
5.25 MB

          3. All Data is the Same.vtt -
3.94 KB

          4. Plug-and-Play.mp4 -
3.51 MB

          4. Plug-and-Play.vtt -
2.58 KB

    2. Bias-Variance Trade-Off
          1. Bias-Variance Key Terms.mp4 -
10.23 MB

          1. Bias-Variance Key Terms.vtt -
7.84 KB

          2. Bias-Variance Trade-Off.mp4 -
4.89 MB

          2. Bias-Variance Trade-Off.vtt -
3.57 KB

          3. Bias-Variance Decomposition.mp4 -
5.37 MB

          3. Bias-Variance Decomposition.vtt -
3.51 KB

          4. Polynomial Regression Demo.mp4 -
41.75 MB

          4. Polynomial Regression Demo.vtt -
11.45 KB

          5. K-Nearest Neighbor and Decision Tree Demo.mp4 -
13.86 MB

          5. K-Nearest Neighbor and Decision Tree Demo.vtt -
5.06 KB

          6. Cross-Validation as a Method for Optimizing Model Complexity.mp4 -
6.97 MB

          6. Cross-Validation as a Method for Optimizing Model Complexity.vtt -
5.1 KB

    3. Bootstrap Estimates and Bagging
          1. Bootstrap Estimation.mp4 -
47.72 MB

          1. Bootstrap Estimation.vtt -
11.03 KB

          2. Bootstrap Demo.mp4 -
10.95 MB

          2. Bootstrap Demo.vtt -
3.62 KB

          3. Bagging.mp4 -
3.93 MB

          3. Bagging.vtt -
2.7 KB

          4. Bagging Regression Trees.mp4 -
15.87 MB

          4. Bagging Regression Trees.vtt -
4.04 KB

          5. Bagging Classification Trees.mp4 -
20.32 MB

          5. Bagging Classification Trees.vtt -
4.76 KB

          6. Stacking.mp4 -
6.07 MB

          6. Stacking.vtt -
4.47 KB

    4. Random Forest
          1. Random Forest Algorithm.mp4 -
14.42 MB

          1. Random Forest Algorithm.vtt -
10.71 KB

          2. Random Forest Regressor.mp4 -
14.89 MB

          2. Random Forest Regressor.vtt -
7.47 KB

          3. Random Forest Classifier.mp4 -
12.59 MB

          3. Random Forest Classifier.vtt -
5 KB

          4. Random Forest vs Bagging Trees.mp4 -
7.82 MB

          4. Random Forest vs Bagging Trees.vtt -
3.9 KB

          5. Implementing a Not as Random Forest.mp4 -
8.69 MB

          5. Implementing a Not as Random Forest.vtt -
4.42 KB

          6. Connection to Deep Learning Dropout.mp4 -
4.22 MB

          6. Connection to Deep Learning Dropout.vtt -
2.85 KB

    5. AdaBoost
          1. AdaBoost Algorithm.mp4 -
10.89 MB

          1. AdaBoost Algorithm.vtt -
7.96 KB

          2. Additive Modeling.mp4 -
2.8 MB

          2. Additive Modeling.vtt -
2.07 KB

          3. AdaBoost Loss Function Exponential Loss.mp4 -
11.18 MB

          3. AdaBoost Loss Function Exponential Loss.vtt -
7.44 KB



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