Resource Suggestion: Machine learning in Python with scikit-learn

[etrotta]

Resource name Machine learning in Python with scikit-learn

Resource location Primarily: https://inria.github.io/scikit-learn-mooc/ Also:

• https://www.fun-mooc.fr/en/courses/machine-learning-python-scikit-learn/
• https://github.com/INRIA/scikit-learn-mooc/

Payment type Free

Why it should be included The course presents a detailed overview of Machine Learning practices and the models offered by the sklearn package, and explains the reasoning behind each of the components. Furthermore, it is presented by core developers of the sklearn library.

Potential limitations For the full experience and certificate, learners would have to catch a MOOC (Massive Open Online Course) run, but most of the material is always available for free.

When it comes to the requirements, they suggest:

• basic knowledge of Python programming : defining variables, writing functions, importing modules
• some prior experience with the NumPy, pandas and Matplotlib libraries is recommended but not required.

But in some places, they make use of OOP features such as defining classes or accessing variable.__class__.__name__ without really explaining it.