Car Price Prediction Model

Overview

Predict car prices using a Linear Regression model built with scikit-learn. Ideal for buyers and sellers to estimate car values based on features like year, fuel type, and mileage.

Features

• Car Model
• Year
• KM Driven
• Fuel Type
• Seller Type
• Transmission
• Owner Type
• Mileage
• Engine Capacity
• Max Power
• Seats

Requirements

• pandas
• numpy
• scikit-learn
• streamlit
• matplotlib (optional)

Installation

1. Clone the repo:

   git clone https://github.com/pythonophile/Car_Price_Prediction_Model.git
   cd car-price-prediction

2. Install Dependencies

   pip install -r requirements.txt
   

Usage

Run the Jupyter notebook to train the model:

jupyter notebook Car_Price_Prediction_Model.ipynb

Deployment

 streamlit run app.py