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This GitHub repository contains a simple implementation of a linear regression model using Python and popular data science libraries. The model is designed for educational purposes and provides a hands-on introduction to basic regression concepts.
Applied advanced data cleaning and modeling techniques to predict auto insurance claims, focusing on crash probability and claim amounts. Expertise in handling high-dimensional, messy datasets and building interpretable models supports risk assessment and operational efficiency in the insurance domain.