100 Days of Machine Learning | CampusX - Polynomial Features in Logistic Regression | Non Linear Logistic Regression | Logistic Regression 7

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 ============================ Do you want to learn from me? Check my affordable mentorship program at : https://learnwith.campusx.in/s/store ============================ 📱 Grow with us: CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789 Discord: https://discord.gg/PsWu8R87Z8 E-mail us at [email protected]