How do we handle non-linear relationships?
We can use Polynomial Regression or transform features using logarithms or exponential functions.
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More FAQs in What is Linear Regression? A Beginner Friendly Guide
Simple regression uses one input variable, while multiple regression uses two or more input variables to make predictions.
When the model learns noise in the training data, leading to a complex line that performs poorly on test data.
No, it is used for continuous numerical predictions. For categories, use Logistic Regression.
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