AFARNOOD/Dynamic-Pricing-ML

This project focuses on Dynamic Pricing by leveraging machine learning to predict the cost of rides based on factors like demand, customer loyalty, ride duration, and vehicle type. Using the Dynamic Pricing Dataset from Kaggle, the project includes exploratory data analysis (EDA), feature engineering, model training, and deployment.

12
/ 100
Experimental

No commits in the last 6 months.

No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 0 / 25

How are scores calculated?

Stars

5

Forks

Language

Jupyter Notebook

License

Last pushed

Jan 25, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/AFARNOOD/Dynamic-Pricing-ML"

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