8. Overview of Modeling (09/24)¶

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

8.1. Before Class¶

Session	Content
8	Under and Overfitting in Machine Learning Link

8.2. In Class¶

Session	Content
8	Neural Networks Link
8	Train Test Split Link
8	Intro Logistic Regression KNN Link
8	Intro Logistic Regression KNN Link
8	SVM Link
8	End to End Link
8	Video Recording of Class Sec 01 Link
8	Video Recording of Class Sec 02 Link

7. Python visualization, data manipulation , and feature creation (continued) (09/21) 9. Overview of Classification (09/28)