Linear Regression Basics

This lecture introduces the basics of linear regression, a fundamental concept in machine learning. The instructor covers topics such as supervised learning, model training, loss functions, and evaluation metrics. Through examples and demonstrations, students learn how to fit a line to data, evaluate model performance, and understand key concepts like mean squared error and mean absolute error.