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#188: README.md, adjust language
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@ -633,7 +633,7 @@ on MNIST digits[DEEP LEARNING]
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<a name="python-general-purpose" />
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#### General-Purpose Machine Learning
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* [machine learning](https://github.com/jeff1evesque/machine-learning) - automated build consisting of a [web-interface](https://github.com/jeff1evesque/machine-learning#web-interface), and set of [programmatic-interface](https://github.com/jeff1evesque/machine-learning#programmatic-interface) API for support vector machines. Datasets are stored into a SQL database, then generated models used for prediction(s), are stored into NoSQL datastore.
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* [machine learning](https://github.com/jeff1evesque/machine-learning) - automated build consisting of a [web-interface](https://github.com/jeff1evesque/machine-learning#web-interface), and set of [programmatic-interface](https://github.com/jeff1evesque/machine-learning#programmatic-interface) API, for support vector machines. Corresponding dataset(s) are stored into a SQL database, then generated model(s) used for prediction(s), are stored into NoSQL datastore.
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* [XGBoost](https://github.com/tqchen/xgboost) - Python bindings for eXtreme Gradient Boosting (Tree) Library
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* [Bayesian Methods for Hackers](https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers) - Book/iPython notebooks on Probabilistic Programming in Python
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* [Featureforge](https://github.com/machinalis/featureforge) A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
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