GLM, Neural Network and Gradient Boosting for Insurance Pricing, Part 1: Claim Frequency
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Updated
Sep 18, 2020 - Jupyter Notebook
GLM, Neural Network and Gradient Boosting for Insurance Pricing, Part 1: Claim Frequency
Forecast of car claim frequency using GLM, boosting and neural networks
SQL analysis of car insurance claims to identify high-risk policyholder groups based on demographic, behavioural and vehicle-related attributes. This project calculates policyholder share, claim share, claim frequency and relative risk ratio to highlight groups with heightened claim behaviour.
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