Understanding Linear Regression in Machine Learning (Explained Simply) скачать в хорошем качестве

Understanding Linear Regression in Machine Learning (Explained Simply)

Linear Regression is one of the most important foundational algorithms in machine learning, and in this video we break it down step by step in a clear, intuitive way. You’ll learn how linear regression works, why it’s used for regression problems, and how models predict continuous values like house prices, test scores, or sales forecasts. We explain how data points are modeled using a straight line, what the linear equation y = wx + b actually means, and how weights and bias control the relationship between inputs and predictions. You’ll also learn how errors are measured using residuals and why Mean Squared Error (MSE) is used to evaluate how good or bad a model is. This video is perfect for beginners in machine learning, AI, or data science who want a strong conceptual understanding before diving into code. By the end, you’ll understand how linear regression finds the best-fitting line and why minimizing error is the core goal of training a model.