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The Algebras' (Shane Weisz and Ryan Anderson) winning solution for the "UCT Datathon: The Ultimate Hacking Challenge", hosted by Zindi

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Zindi-Hackathon-Winning-Solution

This repo contains the Algebras' (Shane Weisz and Ryan Anderson) winning solution for the UCT Datathon: The Ultimate Hacking Challenge, hosted by Zindi.

Problem Description

Recently, there has been an increase in the number of building collapse in Lagos and major cities in Nigeria. Olusola Insurance Company offers a building insurance policy that protects buildings against damages that could be caused by a fire or vandalism, by a flood or storm.

You have been appointed as the Lead Data Analyst to build a predictive model to determine if a building will have an insurance claim during a certain period or not. You will have to predict the probability of having at least one claim over the insured period of the building.

The model will be based on the building characteristics. The target variable, Claim, is a:

  • 1 if the building has at least a claim over the insured period.
  • 0 if the building doesn’t have a claim over the insured period.

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The Algebras' (Shane Weisz and Ryan Anderson) winning solution for the "UCT Datathon: The Ultimate Hacking Challenge", hosted by Zindi

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