NEW YORK TAXI TRIP DURATION PREDICTION

Built a predictive model, which will help in predicting the duration of a taxi trip in NYC.

Objective was to Build a predictive model, for predicting the duration for the taxi ride using following components

Use Automated feature engineering to create new features (Deep Feature Synthesis)
Compute features and define feature matrix
Splitting the data into train and test
Build Linear regression model
Building decision tree
Building Pruned decision tree
Building Random Forest
Create a Models with transform and aggregate primitive
Check the performance of the model