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In this lecture, we introduce Supervised Learning and dive deep into Linear Regression, one of the most fundamental algorithms in Machine Learning. We use a housing dataset example to understand how predictions are made using a straight-line equation and how error is calculated. 📌 Topics Covered: What is Supervised Learning? Introduction to ...
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