Workshops covering how to implement simple machine learning models in Python.
The folder Notebooks contains the code we went through for each workshop with all the exercise solutions filled in.
Overview
- Workshop 1: Data Cleaning and Visualization
- Workshop 2: Logistic Regression
- Workshop 3: Neural Networks
- Workshop 4: Decision Trees and Random Forest
- Workshop 5: k-Nearest Neighbors and other Model Evaluation Methods
In case you missed our live workshops, check out our recordings on YouTube!