In this session, we will utilize Scikit-learn to address a fundamental machine learning problem. Through the process, we will gain an understanding of how to properly prepare data for learning, formulate the problem in a probabilistic manner, and utilize validation techniques to regularize our model and increase confidence in our results. As a hands-on exercise, we will also have the opportunity to work on a problem to be completed outside of the session through our Discord group.
Prerequisites: You need a working knowledge of Python, NumPy and Pandas to successfully complete this workshop.