Regression and Classification

University of Colorado Boulder via Coursera

Go to Course: https://www.coursera.org/learn/regression-and-classification

Introduction

Express why Statistical Learning is important and how it can be used.

Identify the strengths, weaknesses and caveats of different models and choose the most appropriate model for a given statistical problem.

Determine what type of data and problems require supervised vs. unsupervised techniques.

Syllabus

Statistical Learning Introduction

Introduction to overarching and foundational concepts in Statistical Learning.

Accuracy

Exploration into assessing models in different situations. How do we define a "best" model for given data?

Simple Linear Regression

Introduction to Simple Linear Regression, such as when and how to use it.

Multiple Linear Regression

A deep dive into multiple linear regression, a strong and extremely popular technique for a continuous target.

Classification Overview

Classification Models