This project aims to predict property insurance premiums using machine learning techniques. The dataset consists of various features related to insurance policies and properties. The goal is to build models that can accurately predict the annual premium based on these features.
Public lite version of a personal multi-disciplinary ontology spanning forensic accounting, integrated data science, and valuation. Licensed under CC BY-NC-SA 4.0
Educational software and documentation framework for Claim Verifiability™, inspection-first roof claim documentation, and evidence-based restoration training.
Tractable is a London-headquartered artificial intelligence company founded in 2014 by Alexandre Dalyac, Razvan Ranca, and Adrien Cohen that applies computer vision and deep learning to automate visual damage assessment for auto and property insurance claims.
Roost is a Sunnyvale, California home-telematics company that helps property and casualty insurance carriers modernize homeowners and commercial insurance with smart, in-home sensors and monitoring.
FM (formerly FM Global) is a mutual insurance company specializing in commercial and industrial property insurance, loss prevention engineering, and risk management research. FM operates through six business units including FM, FM Affiliated, FM Approvals, FM Boiler Re, FM Cargo, and FM Renewable Energy, and is one of the largest commercial…
Hippo is a US homeowners insurance carrier headquartered in Palo Alto, California, operating as the insurance subsidiary of Hippo Holdings Inc. (NYSE: HIPO). Founded in 2015, Hippo modernizes home insurance with instant online quotes — typically under sixty seconds — and a smart home oriented approach that pairs policies with proactive home…
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