This project aims to predict iron content in iron ore using machine learning by developing models based on extracted features. It includes data preprocessing, feature engineering, model training, and evaluation for accurate predictions.

This project analyses Spotify track data using linear regression models to explore relationships between audio features and track popularity. It includes Jupyter Notebooks demonstrating simple and multiple linear regression techniques