This repository will contain the teaching material and other info associated with our scikit-learn tutorial at SciPy 2018 held July 9-15 in Austin, Texas. Parts 1 to 12 make up the morning session, ...

Building a recommendation system in Python for a music streaming service. Packages used: Pandas, Numpy, Matplotlib, Seaborn, Sklearn. Summary of the Music Recommendation System Project: We aim to ...

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!