CTD - Python 200 - Lesson2 ML Intro & Linear Regression

The goal here is to help you: Explain why machine learning matters and where it's applied. Understand how machine learning relates to artificial intelligence. Distinguish between supervised, unsupervised, and reinforcement learning. Identify key differences between classification, regression, and clustering problems. Match real-world examples to the correct type of learning. Build intuition for how data, labels, and feedback shape the learning process.