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Health Insurance Lead Prediction
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 insurance to the existing c..
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Data File Columns:
age, ***. bmi, children, smoker, region, chargesWith the help of these columns we can predict the charges imposed.
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Context
This dataset consist of data From 1985 Ward's Automotive Yearbook. Here are the sources
Sources:
1) 1985 Model Import Car and Truck Specifications, 1985 Ward's Automotive Yearbook.2) Personal Auto Manuals, Insurance Services Office, 160 Wa..
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Dataset has columns months_as_customer age policy_number policy_bind_date policy_state policy_csl policy_deductable policy_annual_premium umbrella_limit insured_zip ... police_report_available total_claim_amount injury_claim property_claim vehicle_cl..
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Context
The Brazilian government compiles motor insurance data from ago/2000 to ago/2016 and makes it available for public consumption.
Content
There's information about the performance of Brazilian insurance motor like Premium, claim and commissi..
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This Dataset is something I found online when I wanted to practice regression models. It is an openly available online dataset at multiple places. Though I do not know the exact origin and collection methodology of the data, I would recommend this da..
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French Dataset Insurance Reviews
Content
User reviews on mutual health insurance in France.You can use this dataset for Sentiment Analysis.
Source = opinion-assurance.fr
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Content
This is "Sample Insurance Claim Prediction Dataset" which based on "[Medical Cost Personal Datasets][1]" to update sample value on top.
age : age of policyholder***: gender of policy holder (female=0, male=1)bmi: Body mass index, providing ..
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Context
Data has always been at the heart of the insurance industry. What has changed in our current reality to create massive disruption is the amount of data generated daily and the speed at which machines can process the info and uncover insights..
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Data contain information of the people and based on this how much insurance company charge to insure them.Objective is to predict the insurance charges for the new people based on the information we will get from them.Column names : Age, ***, BMI, Ch..
