GitHub topics: betrugserkennung
DeutscheAktuarvereinigung/Data_Science_Challenge_2020_Betrugserkennung
In this notebook we take a look at a relevant project that is frequently encountered by insurers: Fraud Detection. For this purpose we use a car data set from a public source and will show the necessary steps to establish an automated fraud detection.
Language: Jupyter Notebook - Size: 11.5 MB - Last synced at: 13 days ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0
