Grasp the basics of using different regression models for predictive modeling. Learn how to establish polynomial, lasso and ridge regression models within Python.
Overview
Syllabus
- Lesson 1: Mastering Multiple Linear Regression with Python
- Lesson 2: Meeting Polynomial Regression
- Lesson 3: Decoding the Language of Coefficients in Regression Models
- Lesson 4: Evaluating Model Accuracy: MSE, RMSE, and MAE in Regression Analysis
