O'Reilly - Advanced Machine Learning with scikit learn
File List
- Working Files/Advanced_Machine_Learning_with_scikit_learn_Working_Files.zip 57.5 MB
- 02. Model Complexity, Overfitting And Underfitting/02_02-Linear Models InDepth.mp4 33.6 MB
- 01. Introduction/01_03-The Classifier Interface.mp4 27.2 MB
- 01. Introduction/01_11-How To Access Your Working Files.mp4 26.4 MB
- 07. Handling Text Data/07_03-Text Classification For Sentiment Analysis Part 1.mp4 25.4 MB
- 01. Introduction/01_06-The Cluster Interface.mp4 22.3 MB
- 02. Model Complexity, Overfitting And Underfitting/02_03-Kernel SVMs InDepth.mp4 21.9 MB
- 05. Model Selection For Unsupervised Learning/05_01-Guidelines For Unsupervised Model Selection.mp4 21.6 MB
- 04. Advanced Metrics And Imbalanced Classes/04_01-Be Mindful Of Default Metrics.mp4 20.6 MB
- 04. Advanced Metrics And Imbalanced Classes/04_04-Defining Custom Metrics.mp4 20.4 MB
- 01. Introduction/01_09-CrossValidation With Cross_Val_Score.mp4 20.3 MB
- 04. Advanced Metrics And Imbalanced Classes/04_03-AUC.mp4 19.7 MB
- 01. Introduction/01_10-Parameter Searches With GridSearchCV.mp4 19.3 MB
- 07. Handling Text Data/07_02-BagOfWords Representations.mp4 19.1 MB
- 03. Pipelines/03_02-Defining A Pipeline And Basic Usage.mp4 19.1 MB
- 06. Dealing With Categorical Variables, Dictionaries, And Incomplete Data/06_01-Why Real Data Is Messy.mp4 19.0 MB
- 08. Out Of Core Learning/08_05-Application OutOfCore Text Classification.mp4 18.4 MB
- 08. Out Of Core Learning/08_04-Subsample And Transform Supervised Transformations For Out Of Core Learning.mp4 18.4 MB
- 05. Model Selection For Unsupervised Learning/05_02-Model Selection For Density Models.mp4 18.2 MB
- 06. Dealing With Categorical Variables, Dictionaries, And Incomplete Data/06_02-OneHot Encoding For Categorical Data.mp4 18.1 MB
- 02. Model Complexity, Overfitting And Underfitting/02_07-Efficient Parameter Search With EstimatorCV Objects.mp4 18.1 MB
- 03. Pipelines/03_04-Parameter Selection With Pipelines.mp4 16.7 MB
- 08. Out Of Core Learning/08_03-Kernel Approximations For LargeScale NonLinear Classification.mp4 16.0 MB
- 02. Model Complexity, Overfitting And Underfitting/02_04-Random Forests InDepth.mp4 15.1 MB
- 06. Dealing With Categorical Variables, Dictionaries, And Incomplete Data/06_04-Handling Incomplete Data.mp4 14.7 MB
- 08. Out Of Core Learning/08_02-The scikitLearn Interface For Out Of Core Learning.mp4 14.7 MB
- 04. Advanced Metrics And Imbalanced Classes/04_02-More Evaluation Methods For Classification.mp4 14.6 MB
- 05. Model Selection For Unsupervised Learning/05_03-Model Selection For Clustering.mp4 14.0 MB
- 07. Handling Text Data/07_04-Text Classification For Sentiment Analysis Part 2.mp4 13.0 MB
- 02. Model Complexity, Overfitting And Underfitting/02_05-Learning Curves For Analyzing Model Complexity.mp4 12.6 MB
- 01. Introduction/01_01-What To Expect And About The Author.mp4 12.5 MB
- 01. Introduction/01_08-scikitLearn Interface Summary.mp4 11.3 MB
- 01. Introduction/01_07-The Manifold Interface.mp4 11.0 MB
- 01. Introduction/01_04-The Regressor Interface.mp4 10.8 MB
- 08. Out Of Core Learning/08_01-The TradeOffs Of Out Of Core Learning.mp4 10.8 MB
- 09. Conclusion/09_01-Summary.mp4 10.1 MB
- 03. Pipelines/03_01-Motivation Of Using Pipelines.mp4 9.7 MB
- 07. Handling Text Data/07_05-The Hashing Trick.mp4 9.1 MB
- 09. Conclusion/09_02-Where To Go From Here.mp4 8.6 MB
- 07. Handling Text Data/07_01-Motivation.mp4 8.0 MB
- 01. Introduction/01_05-The Transformer Interface.mp4 7.9 MB
- 03. Pipelines/03_03-CrossValidation With Pipelines.mp4 7.8 MB
- 02. Model Complexity, Overfitting And Underfitting/02_06-Validation Curves For Analyzing Model Parameters.mp4 7.6 MB
- 02. Model Complexity, Overfitting And Underfitting/02_01-What Is Model Complexity And Overfitting.mp4 7.3 MB
- 06. Dealing With Categorical Variables, Dictionaries, And Incomplete Data/06_03-Working With Dictionaries.mp4 6.4 MB
- 01. Introduction/01_02-Setup.mp4 5.9 MB
- 07. Handling Text Data/07_06-Other Representations Distributed Word Representations.mp4 5.1 MB
Download Torrent
Related Resources
Copyright Infringement
If the content above is not authorized, please contact us via anywarmservice[AT]gmail.com. Remember to include the full url in your complaint.