Sebastian Raschka, 2015
Python Machine Learning - Code Examples
A collection of additional notebooks and code examples to clarify and explain concepts based on reader feedback.
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A Basic Pipeline and Grid Search Setup [GitHub ipynb] [nbviewer]
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An Extended Nested Cross-Validation Example [GitHub ipynb] [nbviewer]
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A Simple(r) Barebones Flask Webapp Template [view directory][download as zip-file]
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Reading handwritten digits from MNIST into NumPy arrays [GitHub ipynb] [nbviewer]
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Scikit-learn Model Persistence using JSON [GitHub ipynb] [nbviewer]
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Multinomial logistic regression / softmax regression [GitHub ipynb] [nbviewer]