Comparing different ML approaches on the NY taxi dataset
18. december 2018 @ 16:00 - 17:00
“Mindified Christmas EditionThe machine learning field has an extensive set of algorithms and tools that you can apply on a specific problem. In order to see how some different machine learning algorithms and feature selection approaches compare when applied to a regression problem with a fairly large data set, we took on the Kaggle New York Taxi data set: New York City Taxi Trip Duration | Kaggle.We will share some of our results using classical machine learning algorithms as well as neural networks. Further, we will discuss some of the feature engineering that can be applied to improve results. Finally, as we were…”
Price: F
Link: https://www.meetup.com/Malmo-Artificial-Intelligence-Meetup/events/256807156/