Towards Data Science
Thursday, April 2, 2026
Nikhil Dasari
Linear Regression Is Actually a Projection Problem (Part 2: From Projections to Predictions)
linear regression vector projections least squares geometric interpretation machine learning
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Summary
This article explores linear regression through the lens of vector projections, demonstrating how least squares regression can be understood as a geometric projection problem.
The piece explains how this vector-based perspective provides intuition for how regression makes predictions by projecting data onto a lower-dimensional space.
Original Source
This article was originally published by Towards Data Science. Read the full original article for complete details, images, and author commentary.
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