Using Machine Learning Techniques to Predict Rainwater Damage Instances

Molling, P. (Pi)

LIACS Thesis Repository

These webpages contain theses and reports by students affiliated with the various bachelor and master programmes offered at the Leiden Institute of Advanced Computer Science (LIACS), the computer science and artificial intelligence department of Leiden University.
Note: this thesis repository might be incomplete for certain programmes.

Bachelor Informatica & Economie

The following thesis was written by a student in the 2022-2023 class of the Bachelor Informatica & Economie programme at Leiden University.

Thesis details

Title	Using Machine Learning Techniques to Predict Rainwater Damage Instances
Student	Molling, P. (Pi)
Programme	Bachelor Informatica & Economie
Year	2022-2023
Supervisors	Rijn, dr. J.N. (Jan) van T. Beenen (second supervisor)
Thesis	Open Thesis PDF

Citation details

Molling, P. (Pi), Using Machine Learning Techniques to Predict Rainwater Damage Instances, Thesis Bachelor Informatica & Economie, LIACS, Leiden University, 2023.