-
Here are the dataset of banking prediction
-
bank client data:
1 - age (numeric)2 - job : type of job (categorical: 'admin.','blue-collar','entrepreneur','housemaid','management','retired','self-employed','services','student','technician','unemployed','unknown')3 - marital : marital stat..
-
January 19, 2022
Uploaded through
Retail
Category:
Others
61
0
Retailers are generate the power of big data
-
An insurance premium can be broken down into four layers: risk, expense, profit and statutory charges. Traditionally, the risk layer has received the most actuarial and analytics attention, as insurers have sought competitive advantage by developing ..
-
Recently, Big Data science has been a hot topic in the scientific, industrial and the business worlds. The healthcare and biomedical sciences have rapidly become data-intensive as investigators are generating and using large, complex, high dimensiona..
-
Banks have been the most important institutions of money lending and deposits. Primary functions include accepting deposits, offering loans, credit, overdraft, providing liquidity and discounting of bills. Secondary functions include providing safe c..
-
Here Are The Dataset Of Retail Industry
-
Context
This is a pre-crawled dataset, taken as subset of a bigger dataset (more than 115k products) that was created by extracting data from Amazon.com.
Content
This dataset has following fields:
product_name
manufacturer - The item manufactu..
-
DESCRIPTION
Insurance Coverage of Noninstitutionalized Medicare Beneficiaries
SUMMARY
The Insurance Coverage of Noninstitutionalized Medicare Beneficiaries dataset includes data about Medicare insurance coverage beneficiaries ag..
-
Context
This data set contains Insurance Claim data for Fraud Detection.
Content
It consist of 3 dataset
Employee Data - this the master data of the employee ( a.k.a agents or adjusters ) working on the insurance claims
Vendor Data - this is t..
