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Developing Classification and Regression Systems, Part 3
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[TutsNode.com] - Developing Classification and Regression Systems, Part 3 (Size: 8.39 GB) (Files: 71)
[TutsNode.com] - Developing Classification and Regression Systems, Part 3
11 - 2.3 Discriminant Analysis I.mp4
31 - 5.2 Tuning Hyperparameters.mp4
4 - 1.2 Decision Trees I.mp4
27 - 4.5 Interactions.mp4
12 - 2.4 Discriminant Analysis II.mp4
16 - 3.1 Penalized Regression I.mp4
5 - 1.3 Decision Trees II.mp4
28 - 4.6 Target Manipulations.mp4
3 - 1.1 Revisiting Classification.mp4
7 - 1.5 Support Vector Classifiers II.mp4
10 - 2.2 Logistic Regression II.mp4
32 - 5.3 Nested Cross-validation.mp4
24 - 4.2 Feature Scaling.mp4
26 - 4.4 Categorical Coding.mp4
9 - 2.1 Logistic Regression I.mp4
6 - 1.4 Support Vector Classifiers I.mp4
25 - 4.3 Discretization.mp4
19 - 3.4 Regression Trees.mp4
18 - 3.3 Piecewise Constant Regression.mp4
30 - 5.1 Models, Parameters, and Hyperparameters.mp4
33 - 5.4 Pipelines.mp4
21 - 3.6 Comparing Regressors.mp4
14 - 2.6 Comparing Classifiers.mp4
17 - 3.2 Penalized Regression II.mp4
34 - 5.5 Tuning Pipelines.mp4
1 - Developing Classification and Regression Systems (Machine Learning with Python for Everyone Series), Part 3 LiveLessons - Introduction.mp4
20 - 3.5 Bias and Variance of Regressors.mp4
23 - 4.1 Overview of Feature Engineering.mp4
13 - 2.5 Bias and Variance of Classifiers.mp4
35 - Developing Classification and Regression Systems (Machine Learning with Python for Everyone Series), Part 3 LiveLessons - Summary.mp4
15 - Topics.mp4
29 - Topics.mp4
22 - Topics.mp4
8 - Topics.mp4
2 - Topics.mp4
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