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Dream Housing Finance company deals in all home loans. They have a presence across all urban, semi-urban and rural areas. Customer first applies for the home loan after that company validates the customer eligibility for the loan.
The company wants to automate the loan eligibility process (real-time) based on customer detail provided while filling online application form. These details are Gender, Marital Status, Education, Number of Dependents, Income, Loan Amount, Credit History and others. To automate this process, they have given a problem to identify the customer's segments, those are eligible for loan amount so that they can specifically target these customers. Here they have provided a partial data set.
In this machine learning pricing project, we implement a retail price optimization algorithm using regression trees. This is one of the first steps to building a dynamic pricing model.
In this project, we are going to talk about insurance forecast by using regression techniques.
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.