/Taxi-demand-forecasting-in-New-York-City

Primary LanguageJupyter Notebook

Taxi-demand-forecasting-in-New-York-City

  • Used the data set downloaded from Kaggle competition.
  • Performed Data cleaning and analyzed the Yellow cab dataset in New York; studied the demand variations.
  • Prepared data by clustering different regions of New York, smoothing time bins and visualized the clusters.
  • Implemented regression algorithms like Linear Regression, Random Forest and XGBoost to achieved mean absolute percentage error (MAPE) of 0.125 with XGBoost algorithm.