A3.1 Understanding Linear Regression as a Machine Learning Problem

A3. Building Regression Models with scikit-learn Understanding Linear Regression as a Machine Learning Problem: 01. Module Overview 02. Prerequisites and Course Outline 03. Connecting the Dots with Linear Regression 04. Minimizing Least Square Error 05. Installing and Setting up scikit-learn 06. Exploring the Automobile Mpg Dataset 07. Visualizing Relationships and Correlations in Features 08. Mitigating Risks in Simple and Multiple Regression 09. R-squared and Adjusted R-squared 10. Regression with Categorical Variables 11. Module Summary