E-Commerce Backend System

Developed an intelligent system to classify glass types based on their chemical composition.

The project analyzes chemical components and determines the type of glass and evaluates which material composition provides better quality and performance.

Implemented using Python with machine learning algorithms for classification and data analysis.

The system performs data preprocessing, feature selection, and model evaluation to achieve accurate predictions.

Technologies used: Python, Machine Learning, Data Analysis, Statistics.