Linear Classifiers in Python

Mike Gelbart

Mike Gelbart is an Instructor in the Department of Computer Science at the University of British Columbia (UBC) in Vancouver, Canada. He also teaches in, and co-designed, the Master of Data Science program at UBC. Mike received his undergraduate degree in physics from Princeton University and his PhD from the machine learning group at Harvard University, working on hyperparameter optimization for machine learning.

Course Description

In this course you’ll learn all about using linear classifiers, specifically logistic regression and support vector machines, with scikit-learn. Once you’ve learned how to apply these methods, you’ll dive into the ideas behind them and find out what really makes them tick. At the end of this course you’ll know how to train, test, and tune these linear classifiers in Python. You’ll also have a conceptual foundation for understanding many other machine learning algorithms.