Data Cleaning and Preprocessing Using Python

This project demonstrates data cleaning and preprocessing using Python and Pandas. It includes identifying missing values, detecting duplicate records, handling missing data using appropriate methods, and exporting the cleaned dataset to CSV format.

The project uses a sample customer dataset created for demonstration purposes.