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Merge pull request #209 from hslatman/hs_tpot
TPOT, the Tree-based Pipeline Optimization Tool, for machine learning…
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* [Neural Networks and Deep Learning](https://github.com/mnielsen/neural-networks-and-deep-learning) - Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING]
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* [Neural Networks and Deep Learning](https://github.com/mnielsen/neural-networks-and-deep-learning) - Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING]
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* [Annoy](https://github.com/spotify/annoy) - Approximate nearest neighbours implementation
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* [Annoy](https://github.com/spotify/annoy) - Approximate nearest neighbours implementation
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* [skflow](https://github.com/google/skflow) - Simplified interface for TensorFlow, mimicking Scikit Learn.
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* [skflow](https://github.com/google/skflow) - Simplified interface for TensorFlow, mimicking Scikit Learn.
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* [TPOT](https://github.com/rhiever/tpot) - Tool that automatically creates and optimizes machine learning pipelines using genetic programming. Consider it your personal data science assistant, automating a tedious part of machine learning.
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<a name="python-data-analysis" />
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<a name="python-data-analysis" />
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#### Data Analysis / Data Visualization
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#### Data Analysis / Data Visualization
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