🚗 Car Price Prediction

📌 Overview

This project predicts car prices using machine learning techniques. It involves data preprocessing, exploratory data analysis (EDA), feature engineering, model selection, and evaluation using regression models. The goal is to build an accurate model that estimates the price of a car based on various features.

🔍 Data Preprocessing

• Handling missing values
• Encoding categorical variables
• Feature scaling and transformation

🤖 Model Training and Evaluation

Models used: ✅ Linear Regression

Evaluation Metrics:

• R² Score

📌 Key Results

Model	R² Score
Linear Regression	0.85