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Context
US Cars'data was scraped from AUCTION EXPORT.com. This dataset included Information about 28 brands of clean and used vehicles for sale in US. Twelve features were assembled for each car in the dataset.
Content
This dataset includes 12 f..
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Context
Health Insurance Lead Prediction
Content
Your Client FinMan is a financial services company that provides various financial services like loan, investment funds, insurance etc. to its customers. FinMan wishes to cross-sell health insur..
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Context
The dataset is a subset of recorded insurance claims for vehicles that have been serviced at specific branches. The dataset contains information regarding these vehicles (make and model) as well as the different stages each claim goes throug..
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Among all industries, insurance domain has the largest use of analytics & data science methods. This data set would provide you enough taste of working on data sets from insurance companies, what challenges are faced, what strategies are used, which ..
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Context
This dataset is used in Ewards W. Frees' book "Regression Modeling with Actuarial and Financial Applications"(Cambridge University Press 2010), Chapter 20.5 "Case Study: Swedish Automobile Claims". It can be found on the book's Web site http..
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Source:https://www.kaggle.com/prakharrathi25/insurance-company-datasetDataset:
sourcing_channel,
no_of_premiums_paid,
application_underwriting_score,Count_more_than_12_months_late,
Count_6-12_months_late,
..
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Context
Insurance companies around the world operate in a very competitive environment. With various aspects of data collected from millions of customers, it is painstakingly hard to analyze and understand the reason for a customer’s decision to swi..
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Description
For insurance markets to work well, insurance companies need to be able to pool and spread risk across a broad customer base. This works best where the population to be insured is diverse and large. In Africa, formal insurance against ri..
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Insurance
Making Predictions Using Logistic Regressionhttps://www.kaggle.com/dheeraj07/insurance
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54.32 KB data with features of ***, bmi, age, children, smoker, region, which predicts charges.
