This repository contains a housing dataset, which can be found on Kaggle.
The file Linear_Polynomial_regression_with_regularization.ipynb provides various regression analyses conducted on the dataset, including:
- Vanilla (multi)linear regression: Performed on datasets with and without one-hot encoded categorical variables.
- Lasso and Ridge regularization: Implementation of penalization techniques to prevent overfitting.
- Polynomial regression: Exploring the effects of polynomial transformations on model performance.
Feel free to explore the notebook to understand the different regression techniques applied and their results.