data analysis using python

In this project, I analyzed and modeled a dataset containing BMW car sales records from 2010 to 2024. The data included details such as model, year, region, fuel type, transmission, engine size, mileage, price, and sales volume.

I performed extensive data cleaning and exploratory data analysis (EDA) using Python (Pandas, NumPy, Matplotlib, Seaborn) to identify key trends in pricing, regional performance, and sales classification.