Skip to content

The aim of this project to predict the price of the used cars in indian metro cities by analyzing the car's features such as company, model, variant, fuel type, quality score and many more.

Notifications You must be signed in to change notification settings

rohitinu6/Indian-Used-Car-Price-Prediction

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Indian Used Car Price Prediction

📌 Project Overview

This project predicts the price of used cars in India based on various factors such as brand, model, year, fuel type, transmission, mileage, and more. The aim is to help buyers and sellers estimate fair market prices using machine learning techniques.

🚀 Features

  • Data cleaning and preprocessing
  • Exploratory data analysis (EDA) to understand pricing trends
  • Feature selection and engineering
  • Machine learning model training and evaluation
  • Model deployment for real-world predictions

🛠 Tech Stack

  • Python
  • Pandas, NumPy
  • Scikit-learn
  • Matplotlib, Seaborn
  • Jupyter Notebook

📂 Dataset

The dataset consists of used car listings with attributes such as:

  • Car Brand & Model
  • Manufacturing Year
  • Fuel Type (Petrol, Diesel, CNG, Electric, etc.)
  • Transmission Type (Manual, Automatic)
  • Mileage & Engine Capacity
  • Owner Type (First, Second, Third Owner)
  • Selling Price (Target variable)

💊 Machine Learning Models Used

  • Linear Regression
  • Decision Tree Regressor
  • Random Forest Regressor
  • XGBoost Regressor

🔥 Results

The models are evaluated based on RMSE, MAE, and R-squared values. Random Forest and XGBoost provide the best predictions for used car prices.

📁 Repository Structure

📂 Indian-Used-Car-Price-Prediction
🌍-- 📂 data (Dataset & processed data)
🌍-- 📂 notebooks (Jupyter Notebooks)
🌍-- 📂 models (Trained models)
🌍-- 📂 images (Code and Results Screenshots)
🌍-- 📄 README.md (Project documentation)

🖼 Code and Results

Include images of code and results in the images folder. Example:

🐝 How to Run the Project

  1. Clone the repository:
    git clone https://github.com/rohitinu6/Indian-Used-Car-Price-Prediction.git
  2. Navigate to the project folder:
    cd Indian-Used-Car-Price-Prediction
  3. Install dependencies:
    pip install -r requirements.txt
  4. Run the Jupyter Notebook or Python scripts to train and test models.

🛠 Links

🛣 Tags

Machine Learning Car Price Prediction Used Cars Regression Data Science Python EDA

📝 License

This project is licensed under the MIT License.


💡 For any queries or collaboration opportunities, feel free to connect! 🚀

About

The aim of this project to predict the price of the used cars in indian metro cities by analyzing the car's features such as company, model, variant, fuel type, quality score and many more.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published