★ NYC Taxi Trip Duration Prediction

UC Berkeley IEOR 242 Spring 2020 Kaggle Competition Winner

 

How long does it take to get from the Bronx to Staten Island in an NYC yellow cab?

In the “NYC Taxi Trip Duration Prediction” challenge of my UC Berkeley “Applications in Data Analysis” course, I built a machine learning model to predict the duration of an NYC taxi trip as soon as you enter the taxi! As the winning model of the challenge, this model predicts the duration of such a trip with a root mean square error of less than 4.5 minutes.

If you are interested in machine learning and want to know how to build a powerful model on a simple regression problem (or if you just like machine learning memes), click on the “Code” button on top of this webpage!

 

Michaël Karpe
Michaël Karpe
Machine Learning Scientist

Machine Learning Scientist at Next Gate Tech. MEng in Industrial Engineering & Operations Research, FinTech Concentration at University of California, Berkeley. Diplôme d’Ingénieur (MSc) in Applied Mathematics & Computer Science, Machine Learning & Computer Vision Concentration at Ecole des Ponts ParisTech, France.