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O'Reilly - Advanced Machine Learning with scikit learn

magnet:?xt=urn:btih:8B5BA4584FA0B9BD459AF22AD82B5C78FA440807&dn=O%27Reilly%20-%20Advanced%20Machine%20Learning%20with%20scikit%20learn

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Content Size:

765.84MB

Convert On:

2015-11-01

Keywords:

Reilly Advanced Machine Learning with scikit learn

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File Name

Size

01. Introduction/01_01-What To Expect And About The Author.mp4

12.51MB

01. Introduction/01_02-Setup.mp4

5.86MB

01. Introduction/01_03-The Classifier Interface.mp4

27.18MB

01. Introduction/01_04-The Regressor Interface.mp4

10.81MB

01. Introduction/01_05-The Transformer Interface.mp4

7.9MB

01. Introduction/01_06-The Cluster Interface.mp4

22.34MB

01. Introduction/01_07-The Manifold Interface.mp4

10.96MB

01. Introduction/01_08-scikitLearn Interface Summary.mp4

11.31MB

01. Introduction/01_09-CrossValidation With Cross_Val_Score.mp4

20.32MB

01. Introduction/01_10-Parameter Searches With GridSearchCV.mp4

19.34MB

01. Introduction/01_11-How To Access Your Working Files.mp4

26.38MB

02. Model Complexity, Overfitting And Underfitting/02_01-What Is Model Complexity And Overfitting.mp4

7.25MB

02. Model Complexity, Overfitting And Underfitting/02_02-Linear Models InDepth.mp4

33.58MB

02. Model Complexity, Overfitting And Underfitting/02_03-Kernel SVMs InDepth.mp4

21.89MB

02. Model Complexity, Overfitting And Underfitting/02_04-Random Forests InDepth.mp4

15.13MB

02. Model Complexity, Overfitting And Underfitting/02_05-Learning Curves For Analyzing Model Complexity.mp4

12.64MB

02. Model Complexity, Overfitting And Underfitting/02_06-Validation Curves For Analyzing Model Parameters.mp4

7.61MB

02. Model Complexity, Overfitting And Underfitting/02_07-Efficient Parameter Search With EstimatorCV Objects.mp4

18.08MB

03. Pipelines/03_01-Motivation Of Using Pipelines.mp4

9.69MB

03. Pipelines/03_02-Defining A Pipeline And Basic Usage.mp4

19.08MB

03. Pipelines/03_03-CrossValidation With Pipelines.mp4

7.76MB

03. Pipelines/03_04-Parameter Selection With Pipelines.mp4

16.74MB

04. Advanced Metrics And Imbalanced Classes/04_01-Be Mindful Of Default Metrics.mp4

20.6MB

04. Advanced Metrics And Imbalanced Classes/04_02-More Evaluation Methods For Classification.mp4

14.57MB

04. Advanced Metrics And Imbalanced Classes/04_03-AUC.mp4

19.69MB

04. Advanced Metrics And Imbalanced Classes/04_04-Defining Custom Metrics.mp4

20.44MB

05. Model Selection For Unsupervised Learning/05_01-Guidelines For Unsupervised Model Selection.mp4

21.63MB

05. Model Selection For Unsupervised Learning/05_02-Model Selection For Density Models.mp4

18.17MB

05. Model Selection For Unsupervised Learning/05_03-Model Selection For Clustering.mp4

14.02MB

06. Dealing With Categorical Variables, Dictionaries, And Incomplete Data/06_01-Why Real Data Is Messy.mp4

19.04MB

06. Dealing With Categorical Variables, Dictionaries, And Incomplete Data/06_02-OneHot Encoding For Categorical Data.mp4

18.12MB

06. Dealing With Categorical Variables, Dictionaries, And Incomplete Data/06_03-Working With Dictionaries.mp4

6.42MB

06. Dealing With Categorical Variables, Dictionaries, And Incomplete Data/06_04-Handling Incomplete Data.mp4

14.68MB

07. Handling Text Data/07_01-Motivation.mp4

8.03MB

07. Handling Text Data/07_02-BagOfWords Representations.mp4

19.1MB

07. Handling Text Data/07_03-Text Classification For Sentiment Analysis Part 1.mp4

25.36MB

07. Handling Text Data/07_04-Text Classification For Sentiment Analysis Part 2.mp4

12.97MB

07. Handling Text Data/07_05-The Hashing Trick.mp4

9.11MB

07. Handling Text Data/07_06-Other Representations Distributed Word Representations.mp4

5.08MB

08. Out Of Core Learning/08_01-The TradeOffs Of Out Of Core Learning.mp4

10.8MB

08. Out Of Core Learning/08_02-The scikitLearn Interface For Out Of Core Learning.mp4

14.67MB

08. Out Of Core Learning/08_03-Kernel Approximations For LargeScale NonLinear Classification.mp4

16.04MB

08. Out Of Core Learning/08_04-Subsample And Transform Supervised Transformations For Out Of Core Learning.mp4

18.35MB

08. Out Of Core Learning/08_05-Application OutOfCore Text Classification.mp4

18.4MB

09. Conclusion/09_01-Summary.mp4

10.07MB

09. Conclusion/09_02-Where To Go From Here.mp4

8.62MB

Working Files/Advanced_Machine_Learning_with_scikit_learn_Working_Files.zip

57.48MB

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