Linear Regression Model that predicts insurance charges incurred based off of various factors. Uses Pre-processing techniques such as Label Encoding, Robust Scaling. Optimization techniques such as Polynomial Features and Ridge Regression.
Project Duration: 3-4 Days
IDE: Jupyter Notebook