Predict whether a customer is interested in a caravan insurance policy from the data.

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

Assignment - Insurance Report

Description: Analyse the customer dataset of an insurance company. Problem is based on a real-world business problem. The feature of interest is whether a customer buys an insurance.

Information about customers consists of 86 variables:

• 43 socio-demographic variables derived via the customer's ZIP area code

• 43 variables about ownership of other insurance policies.

Data Size:

• 9822 records: 5822 training records and 4000 test records

• 86 attributes

Challenges:

Predict whether a customer is interested in a caravan insurance policy from the data. First do some exploratory data analysis. Visualising the data should give you some insight into certain particularities of this dataset. Then prepare the data for data mining. It will be important to select the right features, and to construct new features from existing ones. Try out at least three different data mining algorithms. 

Second challenge is to derive information about the profile of a typical insurance buyer to give a clear insight to why customers have a caravan policy and how these customers are different from other customers. 

Feature selection and extraction will be very important. You need to find out if data is noisy or unbalanced.

Ensure that the analysis, the critical arguments and conclusions contained in the report are supported by the evidence. The descriptions and interpretation must be comprehensible, useful and actionable for a marketing professional with no prior knowledge of technical jargon. The value of a description is inherently subjective.

Attachments:

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