10. Overview of Classification (10/01)¶

We examine the basics of classess of supervised, unsupervised, reenforcement learning. Also examine overfitting and how cross validation is used for overfitting and how hypterparameters are used to optimize models. Link

10.1. Before Class¶

Session	Content
10	R for Data Science (Skim through book and understand it is available as a reference if needed.) Link
10	RStudio Cloud Link

10.2. In Class¶

Session	Content
10	Video Recording of Class Sec 01 Link
10	Video Recording of Class Sec 02 Link

9. Overview of Classification (09/28) 11. Python and Regression (10/05)