This repo contains an in depth introduction to supervised machine learning with a focus on regression for the 2020 HackIllinois technical workshop on machine learning in Python. The goal of this repo is to give the students a rigorous introduction to the topic of regression using libraries such as NumPy and Pandas.
The recording of the tutorial can be found here.
- This notebook has been updated since the original recording
- In order to see the properly rendered LaTeX equations, the notebook should be opened in Jupyter Notebook.
Please run pip3 install -r requirements.txt to download all the necessary packages for this tutorial.
- Google ML Crash Course
- Pattern Recognition & Machine learning (Bishop 2006)
- Probablistic Machine Learning (Murphy 2012)