03_DS_Car_Dheko

DS_Car Dheko – Used Car Price Prediction

Project Overview

This project builds a machine learning model to predict the resale price of used cars listed on Car Dheko, India's leading used-car marketplace.

Objectives

• Clean and preprocess used car listings data (make, model, year, fuel type, transmission, mileage, etc.)
• Perform exploratory data analysis to identify key pricing factors
• Train and evaluate regression models for price prediction
• Deploy an interactive Streamlit web app for real-time price estimation

Tools & Technologies

• Python – Pandas, NumPy, Scikit-learn, XGBoost
• Streamlit – Web application for price prediction
• Matplotlib / Seaborn – Data visualization
• Pickle – Model serialization

Project Structure

03_DS_Car_Dheko/
├── README.md
├── notebooks/          # EDA and model training notebooks
├── app.py              # Streamlit application
├── data/               # Raw and processed datasets
└── models/             # Trained model files (.pkl)

ML Models Used

• Linear Regression
• Random Forest Regressor
• Gradient Boosting / XGBoost

Source Repository

yasararafath-s/used_car_price_prediction

📁 Project code files to be added.