Python Data Science: An Introduction to Regression

Course Overview

This workshop introduced participants to simple, multiple, polynomial and logistic regression. Particpants learned the math behind these algorithms, including solutions through ordinary least squares, evaluation metrics such as mean squared error (MSE) and variants, and how to implement and evaluate regression in Python via the coefficient of determination. Participants learned to train a basic regression classifier.