Linear Regression & Supervised Learning in Python

This hands-on course empowers learners to apply and evaluate linear regression techniques in Python through a structured, project-driven approach to supervised machine learning. Designed for beginners and aspiring data professionals, the course walks through each step of the regression modeling pipeline—from understanding the use case and importing key libraries to analyzing variable relationships and predicting outcomes. In Module 1, learners will identify, describe, and prepare the foundational elements of a machine learning project. Through univariate and graphical analysis, they will reco…