Ashwashhere/MachineLearningAutoTrader

This project implements a comprehensive supervised machine learning pipeline to predict the selling price of vehicles using the Autotrader "Car Sale Adverts" dataset. Developed in Python, the technical workflow is structured around high-performance libraries including Pandas, Scikit-Learn, and Seaborn.

14
/ 100
Experimental
No License No Package No Dependents
Maintenance 13 / 25
Adoption 0 / 25
Maturity 1 / 25
Community 0 / 25

How are scores calculated?

Stars

Forks

Language

Jupyter Notebook

License

Last pushed

Mar 15, 2026

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Ashwashhere/MachineLearningAutoTrader"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.