Machine Learning with Python and SKLearn: Feature Importance and Scaling

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/M0UVUHy7l1M

For the next video in this lecture series, click here: https://youtu.be/5i4GDKPXn-o

For a playlist of the entire course, click here:
https://www.youtube.com/playlist?list=PLliuty-DnCefs098rXyVkBDAqP-oRElgw

Видео Machine Learning with Python and SKLearn: Feature Importance and Scaling канала Kody Powell