NYC-Taxi-Trip-Duration-Prediction-using-Machine-Learning

🚕 Data Analysis of New York City taxi trips and creation of a Random Forest Regressor for predicting the duration of taxi trips.

In collaboration with Aris Moutsatsos

Main topics:

• Data Cleansing
• Data Analysis (trip duration per number of passengers, per vendor, per day period, per season etc.)
• Clustering
• Random Forest Regression
• GridSearchCV
• Beat the Benchmark by creating new features