Session 13
Introduction to Modeling
Class Objective:
The goal of this class is to expose you more to the introduction of the analysis process.
Readings (To be done before class):
(1) Cross Validation
(2) The 10 Algorithms Machine Learning Engineers Need to Know.
(3) 15 Algorithms Machine Learning Engineers Must Need to Know
(4) A Tour of Machine Learning Algorithms
(5) An Introduction to Machine Learning with Python - Chapter 2-3
In Class:
R Examples R Tree Modeling with R
| Matrix Regression |  |
| Regression Basics | |
| Ridge and Lasso Regression | |