A complete Data Analysis workflow in Python and scikit-learn

A ready-to-run code including preprocessing, parameters tuning and model running and evaluation.

Image by Buffik from Pixabay

In this short tutorial I illustrate a complete data analysis process which exploits the scikit-learn Python library. The process includes

• preprocessing, which includes features selection, normalization and balancing

• model selection with parameters tuning

• model evaluation

Continue reading on Tips & Tricks for Data Science.