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O'Reilly - Advanced Machine Learning with scikit learn
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765.84 MB
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O'Reilly - Advanced Machine Learning with scikit learn
01. Introduction
01_01-What To Expect And About The Author.mp4
- 12.51 MB
01_02-Setup.mp4
- 5.86 MB
01_03-The Classifier Interface.mp4
- 27.18 MB
01_04-The Regressor Interface.mp4
- 10.81 MB
01_05-The Transformer Interface.mp4
- 7.9 MB
01_06-The Cluster Interface.mp4
- 22.34 MB
01_07-The Manifold Interface.mp4
- 10.96 MB
01_08-scikitLearn Interface Summary.mp4
- 11.31 MB
01_09-CrossValidation With Cross_Val_Score.mp4
- 20.32 MB
01_10-Parameter Searches With GridSearchCV.mp4
- 19.34 MB
01_11-How To Access Your Working Files.mp4
- 26.38 MB
02. Model Complexity, Overfitting And Underfitting
02_01-What Is Model Complexity And Overfitting.mp4
- 7.25 MB
02_02-Linear Models InDepth.mp4
- 33.58 MB
02_03-Kernel SVMs InDepth.mp4
- 21.89 MB
02_04-Random Forests InDepth.mp4
- 15.13 MB
02_05-Learning Curves For Analyzing Model Complexity.mp4
- 12.64 MB
02_06-Validation Curves For Analyzing Model Parameters.mp4
- 7.61 MB
02_07-Efficient Parameter Search With EstimatorCV Objects.mp4
- 18.08 MB
03. Pipelines
03_01-Motivation Of Using Pipelines.mp4
- 9.69 MB
03_02-Defining A Pipeline And Basic Usage.mp4
- 19.08 MB
03_03-CrossValidation With Pipelines.mp4
- 7.76 MB
03_04-Parameter Selection With Pipelines.mp4
- 16.74 MB
04. Advanced Metrics And Imbalanced Classes
04_01-Be Mindful Of Default Metrics.mp4
- 20.6 MB
04_02-More Evaluation Methods For Classification.mp4
- 14.57 MB
04_03-AUC.mp4
- 19.69 MB
04_04-Defining Custom Metrics.mp4
- 20.44 MB
05. Model Selection For Unsupervised Learning
05_01-Guidelines For Unsupervised Model Selection.mp4
- 21.63 MB
05_02-Model Selection For Density Models.mp4
- 18.17 MB
05_03-Model Selection For Clustering.mp4
- 14.02 MB
06. Dealing With Categorical Variables, Dictionaries, And Incomplete Data
06_01-Why Real Data Is Messy.mp4
- 19.04 MB
06_02-OneHot Encoding For Categorical Data.mp4
- 18.12 MB
06_03-Working With Dictionaries.mp4
- 6.42 MB
06_04-Handling Incomplete Data.mp4
- 14.68 MB
07. Handling Text Data
07_01-Motivation.mp4
- 8.03 MB
07_02-BagOfWords Representations.mp4
- 19.1 MB
07_03-Text Classification For Sentiment Analysis Part 1.mp4
- 25.36 MB
07_04-Text Classification For Sentiment Analysis Part 2.mp4
- 12.97 MB
07_05-The Hashing Trick.mp4
- 9.11 MB
07_06-Other Representations Distributed Word Representations.mp4
- 5.08 MB
08. Out Of Core Learning
08_01-The TradeOffs Of Out Of Core Learning.mp4
- 10.8 MB
08_02-The scikitLearn Interface For Out Of Core Learning.mp4
- 14.67 MB
08_03-Kernel Approximations For LargeScale NonLinear Classification.mp4
- 16.04 MB
08_04-Subsample And Transform Supervised Transformations For Out Of Core Learning.mp4
- 18.35 MB
08_05-Application OutOfCore Text Classification.mp4
- 18.4 MB
09. Conclusion
09_01-Summary.mp4
- 10.07 MB
09_02-Where To Go From Here.mp4
- 8.62 MB
Working Files
Advanced_Machine_Learning_with_scikit_learn_Working_Files.zip
- 57.48 MB
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InfoHash:
69733F40AE3179379BAC7A40D251F3454283B317
Last updated:
Jan 24, 2022
File count:
47 B
File Category:
1
Tags:
reilly, advanced, machine, learning, scikit, learn
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