This project explores car price data to understand the key factors influencing prices and prepare the dataset for machine learning models.
Features
Dataset cleaning and preprocessing.
Exploratory Data Analysis (EDA) with visualizations.
Distribution analysis of car prices (original vs. log-transformed).
Preparation of features for future predictive modeling.