Python: Logistic Regression & Supervised ML

This hands-on course equips learners with the foundational knowledge and practical skills required to build and evaluate supervised machine learning models using Python. Designed around the real-world Titanic dataset, the course walks learners through the complete machine learning pipeline—from project setup and lifecycle understanding to model deployment readiness. In Module 1, learners will define the machine learning project structure, identify essential Python libraries such as NumPy and pandas, and understand the conceptual foundations of algorithms including Decision Trees and Logistic …