Retail Store Sales Analysis and Prediction Using Machine Learning

Developed an interactive web application using Python and Streamlit to analyze retail store sales data and predict customer spending levels using Machine Learning. The application allows users to upload CSV files, enter transaction details, and view prediction results through a simple and user-friendly interface.

Technologies used: Python, Pandas, Scikit-learn, and Streamlit.