Model that uses 10 different algorithms to predict the revenue of a movie before it's release

IoT-based system to track and manage food waste in grocery stores and restaurants.

A Python implementation of Ridge Regression using scikit-learn to prevent overfitting and handle multicollinearity in regression models. This project applies Ridge Regression on a random generated dataset and visualizes the impact of regularization.

Housing sale price prediction using linear regression, Ridge, KNN, Catboost and XGBoost