You are a strategic consultant to a well-known company which has a diversified business with a presence in different industries and geographical markets. You are asked to analyse the Caravan customer dataset of an insurance company. The Dataset was supplied by a Dutch Data Mining Company Sentinel Machine research. Problem is based on a real world business problem. The feature of interest is whether or not a customer buys a caravan insurance. The data analytical task is to predict whether a customer is interested in a caravan insurance policy from the data. You should 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 two different data mining algorithms such as (neural network, etc) Second task is to derive information about the profile of a typical caravan insurance buyer to give a clear insight to why customers have a caravan policy and how these customers are different from other customers.
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