amueller's
repositories
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data
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figures
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mglearn
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plots
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solutions
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00.0 Overview.ipynb
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01.1 Review of Supervised Learning.ipynb
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01.2 Linear models.ipynb
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02.1 Scaling and Normalization.ipynb
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02.2 Feature preprocessing, feature selection, interactions.ipynb
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03.1 Cross Validation and Grid Searches.ipynb
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03.2 Evaluation Metrics.ipynb
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04.1 Pipelines.ipynb
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05.1 Trees and Forests.ipynb
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05.2 Gradient Boosting.ipynb
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05.3 Support Vector Machines.ipynb
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05.4 Neural Networks.ipynb
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06.1 Unsupervised Feature Extraction.ipynb
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07.1 Outlier Detection.ipynb
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08.1 Gaussian Processes.ipynb
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9.1 Out Of Core Learning.ipynb
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9.2 Custom Estimators.ipynb
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dataset test bikes.ipynb
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old-supervised-learning.ipynb
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.gitignore
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LICENSE
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README.md
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datasets.rst
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preamble.py
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robust_pca.py
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toc.rst
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todo.rst
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