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claim_frequency
GLM, Neural Network and Gradient Boosting for Insurance Pricing, Part 1: Claim FrequencyMortality_Modeling
Multi-Population Mortality Modeling With Neural Networksinsurance_scr_data
How to Work With Comprehensive Internal Model Data for Three PortfoliosDeriving-NHANES-data-set-CDC-for-mortality-analysis
Deriving of a NHANES-data set (CDC) for a mortality analysisData_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.Data-Science-Challenge2021_Explainable-Machine-Learning
The notebook on the main topic of interpretable machine learning is a descriptive and instructive analysis of a car data set from a public source.Love Open Source and this site? Check out how you can help us