A SMS classifier to predict whether a message is spam or ham.

This project aims to predict whether an individual’s income exceeds $50K/year based on the Adult Census Dataset. We explored various machine learning models and neural networks to identify the most effective approach for accurate income classification.

This project demonstrates customer segmentation using hierarchical clustering techniques. The dataset contains customer information,

This project predicts silica levels in iron ore concentrate using real-world data from a mining plant . The goal is to help engineers optimize plant operations and reduce environmental impact.