Egyptian Used Cars Data Analysis Using Python

Project Overview

This academic practice project explores an Egyptian used-cars dataset to understand the factors related to car prices and prepare the data for analysis.

What I Did

Reviewed and cleaned the dataset, including missing values and inconsistent records.

Performed exploratory data analysis (EDA) to understand the data and price patterns.

Applied feature engineering and preprocessing techniques.

Explored regression models and evaluated their performance using MAE, RMSE, and R².

Created visualizations to communicate findings.

Tools: Python, Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn. Project Type: Academic / Practice Project