Introduction to the Dataset for the Course
Explore the loan approval dataset designed for binary classification to predict customer eligibility for home loans. Learn about the dataset features and how this real-world data will be used throughout the course to develop machine learning models and apply hyperparameter optimization techniques.
We'll cover the following...
Problem statement
A company known as Dream Housing Finance offers a wide variety of home loans. They maintain a presence in all of the urban, semi-urban, and rural regions of the country. The process begins with the customer submitting an application for a home loan, and it is followed by the company’s efforts to cross-check the information provided in the application and then verify the customer’s eligibility for the loan.
The company wants to be able to automatically determine, in real-time, if a customer is eligible for the loan they’ve applied for based on the information they provide in their online loan applications.
They have provided a dataset to automate this process, which will identify the customer segments that are qualified for loan amounts. This will allow them to specifically target these customers. ...