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Multivariate Linear Regression with Gradient Descent posted by user Linker1 915 days ago

Training Set To teach the model, we use a training set of data points. Each datapoint has a set of features (input variables) x1,x2, … xn that lead to an observed outcome y (output variable). Features are, for instance, the age, height, weight of a baseball player. The outcome could be something like the batting average in the player’s career. The data points are vectors 1 … m as shown here:

Multivariate Linear Regression with Gradient Descent

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