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Add Microsoft ML for Apache Spark to Scala and Python Lists
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<a name="python-general-purpose-machine-learning"></a>
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#### General-Purpose Machine Learning
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* [Microsoft ML for Apache Spark](https://github.com/Azure/mmlspark) -> A distributed machine learning framework Apache Spark
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* [Shapley](https://github.com/benedekrozemberczki/shapley) -> A data-driven framework to quantify the value of classifiers in a machine learning ensemble.
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* [igel](https://github.com/nidhaloff/igel) -> A delightful machine learning tool that allows you to train/fit, test and use models **without writing code**
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* [ML Model building](https://github.com/Shanky-21/Machine_learning) -> A Repository Containing Classification, Clustering, Regression, Recommender Notebooks with illustration to make them.
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<a name="scala-general-purpose-machine-learning"></a>
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#### General-Purpose Machine Learning
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* [Microsoft ML for Apache Spark](https://github.com/Azure/mmlspark) -> A distributed machine learning framework Apache Spark
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* [DeepLearning.scala](https://deeplearning.thoughtworks.school/) - Creating statically typed dynamic neural networks from object-oriented & functional programming constructs.
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* [Conjecture](https://github.com/etsy/Conjecture) - Scalable Machine Learning in Scalding.
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* [brushfire](https://github.com/stripe/brushfire) - Distributed decision tree ensemble learning in Scala.
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