Scikit-learn is a versatile machine learning library for Python that blends well with the NumPy and SciPy ecosystems, and is used by a growing user base of academic researchers as well as data scientists and engineers in the tech industry.
IPython with its notebook interface is an interactive programming environment that is particularly well suited for data exploration, modeling, and sharing of analysis results, notably via nbviewer.ipython.org.
The objective of this tutorial is to get acquainted both with machine learning concepts in general and the pydata ecosystem in particular.
The session will cover the following topics:
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