Polynomial Features in Logistic Regression | Non Linear Logistic Regression | Logistic Regression 7
Channel: CampusX
Date: 2021-06-29

In logistic regression, polynomial features involve transforming the input features into higher-degree polynomials. This helps capture more complex relationships between variables, potentially improving the model's ability to fit non-linear patterns in the data. Polynomial features are a powerful tool in logistic regression for handling intricate decision boundaries and enhancing predictive performance.

Intro to Polynomial Features: https://www.youtube.com/watch?v=BNWLf3cKdbQ

Code used: https://github.com/campusx-official/100-days-of-machine-learning/tree/main/day60-logistic-regression-contd

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