Polynomial Regression and Model Selection
Read OriginalThis article discusses moving beyond linear regression to polynomial regression for better model fitting. It explains the problem of under-fitting (high bias) when using a linear model on nonlinear data and introduces polynomial hypothesis functions to create curved regression lines that fit the training data more accurately and reduce the cost function.
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