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Linear Regression is a way for computers to predict outcomes based on existing data. It works by finding the best-fitting straight line that describes the relationship between an input (x) and an output (y). 🧠 Examples: • Predict house prices from house size • Predict sales from advertising spend Equation: y = mx + b Where: • m = slope ...
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