In this course, you will learn
- Build univariate and multivariate linear regression models in Python using scikit-learn.
- Perform Exploratory Data Analysis (EDA) and data visualization with seaborn.
- Evaluate model fit and accuracy using numerical measures such as R² and RMSE.
- Model interaction effects in regression using basic feature engineering techniques