Project

Predicting pooled rides in Chicago (dataset of 5mln trips)

Positions: Student Researcher

Created: 2023-10-22 Deadline:

Location: Poland

In the dataset of 5mln trips made with Uber in Chicago some of the are pooled - travel together (20%). Which and why. Can we use this dataset to sucesfully predict which of them will be pooled and what factors influence it? This paper scratched the surface, let’s go deeper: https://doi.org/10.1177/0361198120915886

General must-have requirements

PyTorch or Tensorflow, pandas, XAI

Contact: Rafał Kucharski (rafal.kucharski [ at ] uj.edu.pl)

Project's lab:

GMUM (Group of Machine Learning Research) is a group of researchers working on various aspects of machine learning, and in particular deep learning - in both fundamental and applied settings. The group is led by prof. Jacek Tabor. We are based in the Jagiellonian University in the beautiful city of Kraków, Poland.

Some of the research directions our group pursues include:

  • Generative models: efficient training and sampling; inpainting; super-resolution,
  • Theoretical understanding of deep learning and optimization,
  • Natural language processing,
  • Drug design and cheminformatics,
  • Unsupervised learning and clustering,
  • Computer vision and medical image analysis.

In 2023, we organized the second edition of Machine Learning Summer School (MLSS^S) with a focus on Applications in Science. We invite participants to collaborate with us on various ongoing research projects - learn more here.

See lab's page