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Working Files/Advanced_Machine_Learning_with_scikit_learn_Working_Files.zip 60.3 MB
02. Model Complexity, Overfitting And Underfitting/02_02-Linear Models InDepth.mp4 35.2 MB- 01. Introduction/01_03-The Classifier Interface.mp4 28.5 MB
- 01. Introduction/01_11-How To Access Your Working Files.mp4 27.7 MB
- 07. Handling Text Data/07_03-Text Classification For Sentiment Analysis Part 1.mp4 26.6 MB
- 01. Introduction/01_06-The Cluster Interface.mp4 23.4 MB
- 02. Model Complexity, Overfitting And Underfitting/02_03-Kernel SVMs InDepth.mp4 22.9 MB
- 05. Model Selection For Unsupervised Learning/05_01-Guidelines For Unsupervised Model Selection.mp4 22.7 MB
- 04. Advanced Metrics And Imbalanced Classes/04_01-Be Mindful Of Default Metrics.mp4 21.6 MB
- 04. Advanced Metrics And Imbalanced Classes/04_04-Defining Custom Metrics.mp4 21.4 MB
- 01. Introduction/01_09-CrossValidation With Cross_Val_Score.mp4 21.3 MB
- 04. Advanced Metrics And Imbalanced Classes/04_03-AUC.mp4 20.6 MB
- 01. Introduction/01_10-Parameter Searches With GridSearchCV.mp4 20.3 MB
- 07. Handling Text Data/07_02-BagOfWords Representations.mp4 20.0 MB
- 03. Pipelines/03_02-Defining A Pipeline And Basic Usage.mp4 20.0 MB
- 06. Dealing With Categorical Variables, Dictionaries, And Incomplete Data/06_01-Why Real Data Is Messy.mp4 20.0 MB
- 08. Out Of Core Learning/08_05-Application OutOfCore Text Classification.mp4 19.3 MB
- 08. Out Of Core Learning/08_04-Subsample And Transform Supervised Transformations For Out Of Core Learning.mp4 19.2 MB
- 05. Model Selection For Unsupervised Learning/05_02-Model Selection For Density Models.mp4 19.0 MB
- 06. Dealing With Categorical Variables, Dictionaries, And Incomplete Data/06_02-OneHot Encoding For Categorical Data.mp4 19.0 MB
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