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odubajo/Data-Science-Nigeria-2019-Challenge-1-Insurance-Prediction

Domaine:

socioeconomic

Type de record:

project
Créateur:
odu
Hôte:
### Prerequisites You'll need to install: * Python (3.x or higher) * Jupyter Notebook * Numpy * Pandas * Matplotlib * Seaborn * [Sklearn] And additional libraries defined in each project. Recommended: * Anaconda ## by Odubajo Qoyyum 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. The objective of this project is to build a predictive model to determine if a building will have an insurance claim during a certain period or not 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.

Visit

github.com

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