Day 29: Polynomial Regression — Capturing Non-Linear Relationships

1. 1Explore polynomial regression using scikit-learn in Python
2. 2Apply polynomial regression to a dataset with non-linear relationships
3. 3Compare the performance of polynomial regression with linear regression
4. 4Configure the degree of the polynomial to optimize model fit
5. 5Test the model on a holdout dataset to evaluate its performance

Data scientists and machine learning engineers can benefit from understanding polynomial regression to improve model accuracy

💡 Polynomial regression can capture non-linear relationships in data, improving model accuracy over linear regression

Boost model accuracy with polynomial regression!