It was a competition on KAGGLE for prediction on the most sales products on bikes via their features

This model trains according to the data and makes a Polynomial Regression curve of degree 16. The model is regularized using Lasso regression. It also compares the predicted values with original outputs and for different alphas.

Using OLS regression (and Ridge and Lasso to compare), we worked on a project that uses a dataset to predict housing prices based on user inputs on house details.