Customer Classification & Prediction System using Machine Learning

A machine learning project built using Python to analyze customer data and classify whether new customers are potential clients or fall into specific categories. The workflow included data cleaning, exploratory data analysis (EDA), feature engineering, and training classification models (such as SVM or KNN) using Scikit-learn to achieve high prediction accuracy and support business decisions