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Machine Learning Study in Python

This tutorial consists out of 3 parts. The first part will introduce you to Jupyter Notebooks and Numpy to get you started with Python. Part 2 shows how you can build an anomaly detection system similar to the one used by CoScale. And the last part covers the basics of machine learning. Click on the links below to go to each of the parts.

1. Notebook and Numpy introduction

2. Data import and inspection

3. Machine Learning

4. Recommendation Engine

5. Extras

by Pieter Buteneers (@pieterbuteneers) and Bart De Vylder