Supervised Machine Learning: Regression

Differentiate uses and applications of classification and regression in the context of supervised machine learning

Describe and use linear regression models

Use a variety of error metrics to compare and select a linear regression model that best suits your data

Articulate why regularization may help prevent overfitting

Use regularization regressions: Ridge, LASSO, and Elastic net

This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Regression techniques in a business setting.