Scikit-learn Alternatives [Page 2]

Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Open Source

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DataScience combines human intellect with machine-powered analysis to create actionable insights from complex data.

Build and deploy machine learning models in a simplified way with Azure Machine Learning service. Make machine learning more accessible with automated capabilities.

Google Cloud Machine Learning is a service that enables user to easily build machine learning models, that work on any type of data, of any size.

Open Source

Optimize Everything. Tune your experiments automatically to get better results, faster. A/B testing.

pyBrain is a modular machine learning library for python that offer a flexible and powerful algorithms for machine learning task and a variety of predefined environments to test and compare algorithms.

DatumBox is a machine learning framework that can be applied to a wide variety of complex applications, though it's primarily used for social media analytics.

Open Source

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MLlib is Spark's machine learning (ML) library that make practical machine learning scalable & provides ML Algorithms.

DecisionTree.jl is a Julia classifier with the implimentation of the ID3 algorithm with post pruning, parallelized bagging, adaptive boosting, cross validation and support for mixed nominal and numerical data.

BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.

Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.