Nyc_taxi_trip_duration
Develop ML models predict taxi trip duration in NYC. Ranked : Top 6% | RMSLE : 0.377 (Kaggle) | #DS
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Predict Taxi Trip Duration | 47 | 4 years ago | bsd-3-clause | Jupyter Notebook | ||||||
| Predict taxi trip duration based on historical trips using automated feature engineering | ||||||||||
| Kaggle Taxi Ii | 46 | 9 years ago | 1 | mit | Python | |||||
| Winning solution for the Taxi-Trip Time Prediction Challenge on Kaggle | ||||||||||
| Nyc_taxi_trip_duration | 13 | a year ago | 1 | Jupyter Notebook | ||||||
| Develop ML models predict taxi trip duration in NYC. Ranked : Top 6% | RMSLE : 0.377 (Kaggle) | #DS | ||||||||||
| 2019 Kaggle Elo Top 11 Solution | 9 | 5 years ago | Jupyter Notebook | |||||||
| Kaggle elo competition top gold medal solution | ||||||||||
| Nyc_taxitripduration | 8 | 6 years ago | mit | Python | ||||||
| NYC taxi trip duration Kaggle submission using fully connected neural network | ||||||||||
| Kaggle_taxi_trajectory | 6 | 8 years ago | R | |||||||
| Kaggle EMCL/PKDD 15: Taxi Trajectory and Trip Time | ||||||||||
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Python
Java
Jupyter Notebook
Machine Learning
Data Science
Spark
Dlang
Duration
Kaggle
Geolocation
Sklearn
Xgboost
Pyspark