Day 29: Polynomial Regression — Capturing Non-Linear Relationships

1. 1Explore the limitations of Linear Regression
2. 2Implement Polynomial Regression using a library like scikit-learn
3. 3Visualize the difference between linear and polynomial regression models
4. 4Tune hyperparameters to optimize polynomial regression performance
5. 5Apply polynomial regression to a real-world dataset to practice

Data scientists and machine learning engineers can benefit from understanding Polynomial Regression to improve model accuracy and handle complex relationships

💡 Polynomial Regression can effectively model non-linear relationships, improving prediction accuracy over Linear Regression

Upgrade from Linear Regression to Polynomial Regression to capture non-linear relationships! #MachineLearning #PolynomialRegression