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Lecture
Linear Regression: Basics and Estimation
Description
This lecture covers the fundamentals of linear regression, focusing on the basics of unsupervised learning, dimensionality reduction, and the estimation and inference process. The instructor explains how to solve linear regression problems using least squares and matrix notation.
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