TL;DR

Predict the prices of Passat B6 TDI basing on real offer

Car price prediction

Want to buy or sell a car? What is adequate price?

Machine learning to the rescue!

This Python's script uses linear regression model to predict adequate price for a given car. As a data source (train&test) it uses real offers from Poland's biggest online vehicle marketplace.

• Prediction method: Linear Regression
• Framework: scikit-learn

To predict the best price you will need to specify 3 features:

• year
• mileage [km]
• engine capacity [ccm]

Note

Written only for educational purposes.

Demo

• Price prediction of Passat B6 TDI - Jupyter notebook

Run

1. Clone whole repository or download only this Python script
2. Make sure that your environment contains all required libraries (numpy/scipy etc...)
3. Prepare an URL that points to the offers of wanted vehicle's model ant put it in 'Settings' section
4. Specify also parameters of cars_to_predict_price
5. Run the script
6. Have fun!

Linked resources

• Desmos calculator for trained model