====== Scikit-learn ======

  * [[http://scikit-learn.org]]
  * [[http://www.innoarchitech.com/machine-learning-an-in-depth-non-technical-guide/]]

FIXME : ajouter des exemples avec analyse de textes contenant des termes scientifiques, des noms de substances chimiques,...

  * [[http://scikit-chem.readthedocs.io/en/latest/index.html|Scikit-chem]], simple cheminformatics for Python
  * [[https://github.com/gorgitko/molminer|MolMiner]], for extracting compounds from scientific literature
  * [[https://github.com/mcs07/ChemDataExtractor|ChemDataExtractor]], automatically extract chemical information from scientific documents. Cf. [[https://pubs.acs.org/doi/abs/10.1021/acs.jcim.6b00207|ChemDataExtractor: A Toolkit for Automated Extraction of Chemical Information from the Scientific Literature]] Matthew C. Swain and Jacqueline M. Cole J. Chem. Inf. Model., 2016, 56 (10), pp 1894–1904 DOI: 10.1021/acs.jcim.6b00207
    * voir aussi [[https://jcheminf.springeropen.com/articles/10.1186/1758-2946-7-S1-S2]]

===== References =====
  * [[https://mubaris.com/2017-10-01/kmeans-clustering-in-python]]
  * [[https://www.codementor.io/garethdwyer/introduction-to-machine-learning-with-python-s-scikit-learn-czha398p1]]