You work for a startup mortgage loan department of a National Mortgage Loan

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Assignment 2 - Mortgage Recommendation System

You work for a startup mortgage loan department of a National Mortgage Loan (i) Ltd (NML). You have been assigned the job of building a Mortgage Recommendation System based on a dataset gathered made available to you from a friendly bank for previous cases.

The dataset consists of 1,000 cases, in .csv format and the following data dictionary:

home_owner

1 = current home owner; 0=otherwise

monthly income monthly income of applicant in HKD

debt_to_income debt-to-income (dti) ratio of applicant from other data source FICO credit score from credit database (range from 300-850) 0 = default; 1= loan active

fico_score loan_status

Note: dti does not include this loan applied

You should include the following in your report

1.

A brief account of what you have done in investigating your data and why.

2. Your final Mortgage recommendation system (in Colab notebook) with appropriate assessment of your recommendation system by using the test dataset provided.

3. Any observation you may have in your project.

Your report should not be longer than 2 pages (not including the ML program codes) and be concise.

Datasets provided: mortgage loan_train.csv and mortgage loan_test.csv

 

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