Overview
Curriculum
Master the fundamentals of linear regression, the most widely used technique for predicting continuous outcomes. In this course, we’ll explore how linear models work, how to evaluate their performance, and how optimization techniques like gradient descent help improve accuracy. Through intuitive explanations and practical examples, we’ll learn to build, interpret, and apply linear regression models with confidence.
What You'll Learn
- How linear regression models predict continuous outcomes using input features
- The difference between parametric and non-parametric approaches
- The role of cost functions in quantifying prediction error
- How gradient descent optimizes model parameters step by step
- How to measure model performance using different metrics
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