A web application that uses linear regression to predict prices of used cars and bikes based on odometer reading and purchase year.
- Predicts prices of used cars and bikes based on:
- Odometer reading (kilometers driven)
- Purchase year
- Deployed as a web application using Flask
- Uses popular Python libraries: NumPy, pandas
- Car Price Predictor
- Bike Price Predictor
Python 3.x,
Flask,
NumPy,
pandas,
scikit-learn,
- Clone the repository: git clone
- Install dependencies: pip install -r requirements.txt
- Run the application: python main.py
Open a web browser and navigate to localhost, Enter the odometer reading and purchase year of the vehicle, Click "Predict" to get the predicted price.