Linear Regression EssentialsCovers the essentials of linear regression, focusing on using multiple quantitative explanatory variables to predict a quantitative outcome.
Linear Models: ContinuedExplores linear models, logistic regression, gradient descent, and multi-class logistic regression with practical applications and examples.
Regression DiagnosticsCovers regression diagnostics for linear models, emphasizing the importance of checking assumptions and identifying outliers and influential observations.
Basics of Linear RegressionCovers the basics of linear regression, including OLS estimators, hypothesis testing, and confidence intervals.