vansh-agarwal/NYC-TAXI-DATA-EDA-MLModel
End-to-end ML project predicting NYC taxi fares using XGBoost + Optuna on a 33M row dataset | R² = 0.9851 | MAE = $0.66
Stars
2
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 02, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/vansh-agarwal/NYC-TAXI-DATA-EDA-MLModel"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
nasa/ML-airport-taxi-out
The ML-airport-taxi-out software is developed to provide a reference implementation to serve as...
MaxHalford/taxi-demo-rp-mz-rv-rd-st
🚕 Self-contained demo using Redpanda, Materialize, River, Redis, and Streamlit to predict taxi...
admossie/nyc-taxi-portfolio
XGBoost fare predictor on 2025 NYC yellow taxi data — MAE $1.66, R² 0.951. Temporal validation,...
mo0ody88/NYC-Taxi-Fare-Analysis
🚖 Analyze NYC Yellow Taxi trip data for fare prediction and demand insights using PySpark,...
codelibra/Time-series-analysis-nyc-taxi
⏰ 📓 Time series analysis of new york taxi data