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In these document there a special challenge for zimnant dataset
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Although the fully autonomous car is still a little way off for consumers, the related Internet of Things (IOT) technology,within the auto industry, is growing fast. Vehicles today are equipped with IOT devices that transmit vehicle location,speed, f..
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1. This paper builds on the November 2018 IAIS Issues Paper on Increasing Digitalisation in Insurance and its Potential Impact on Consumer Outcomes1 (Digitalisation Paper) by focusing more specifically on issues relating to the use of personal and ot..
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The importance of insurance as a foundation for economic activity was acknowledged at the inception of the OECD with the creation of the Insurance Committee in 1961. The scope of activities of the Insurance Committee has gradually widened, and now co..
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Context
The venerable insurance industry is no stranger to data driven decision making. Yet in today's rapidly transforming digital landscape, Insurance is struggling to adapt and benefit from new technologies compared to other industries, even with..
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This data set used in the CoIL 2000 Challenge contains information on customers of an insurance company. The data consists of 86 variables and includes product usage data and socio-demographic data
DETAILED DATA DESCRIPTION
THE INSURANCE COMPANY (T..
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Context
Insurance companies that sell life, health, and property and casualty insurance are using machine learning (ML) to drive improvements in customer service, fraud detection, and operational efficiency. The data provided by an Insurance company..
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The insurance industry stands at the threshold of profound change. Digitalization is disruptive, providing extensive opportunities to drive more personalized offerings, minimize risk, reduce costs, and significantly boost competitiveness. Shrinking m..
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This research paper was commissioned by the Practice Standards Council (PSC) in 2005 to encourage greater consistency of practice among practising actuaries in the field of life insurance costing. The task force was given the following mandate: Devel..
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In these car insurance dataset has there are total 26 feature in which we have to predict Yes or No If the customer get the insurance or not for the car
