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Organize some grid-based traffic flow datasets, mainly New York City bicycle and taxi data
Develop ML models predict taxi trip duration in NYC. Ranked : Top 6% | RMSLE : 0.377 (Kaggle) | #DS
In this project using New York dataset we will predict the fare price of next trip. The dataset can be downloaded from https://www.kaggle.com/kentonnlp/2014-new-york-city-taxi-trips The dataset contains 2 Crore records and 8 features along with GPS coordinates of pickup and dropoff
🗽🚕 Performance of data analysis in taxi trips in NYC and creation of a Random Forest Regressor in order to predict the duration of taxi trips.
Code for fetching, sampling, and analysis of NYC taxi data from TLC and Uber for 2009-2018
Examine relationship between NYC weather and taxi data from 2016
Final project of Course Applied Data Science @NYU CUSP
Analysis of human behaviour in NYC using taxi data
Built a few anomaly detection models to determine the anomalies from the data
Predicting the ride time of NYC taxi via machine learning theory
Practice Programs of JAVABRAINS
Implementing Big Data Methods to Analyze 2017 NYC Yellow Taxi