Machine Learning with Python and SKLearn: Introduction

In this video lecture series, we go over the basics of Machine learning using Python and the SKLearn toolbox. We give an introduction to machine learning and start with a simple linear regression example. The lecture series continues with more advanced methods to create nonlinear models and introduce regularization methods like LASSO, Ridge Regression, and Elastic Net Regression. To download the ML_data.csv data set, click here: https://kodypowell.che.utah.edu/wp-content/uploads/sites/3/2024/03/ML_Data.csv For the previous video in this lecture series, click here: https://youtu.be/Qa0BimuqYbA For the next video in this lecture series, click here: https://youtu.be/7pS5FqKVGGo For a playlist of the entire course, click here: https://www.youtube.com/playlist?list=PLliuty-DnCefs098rXyVkBDAqP-oRElgw