
Hope you have heard about the Oracle’s Self Driving Autonomous Database. Autonomous Database is an autonomous data management software in the cloud to deliver automated patching, upgrades, and tuning — including performing all routine database maintenance tasks while the system is running — without human intervention. This new autonomous database is self-driving, self-securing, and self-repairing, which helps to eliminate manual database management and human errors. Also, there is also a secret weapon called Machine Learning in a Box built into the Oracle Autonomous Database Platform. Here is a quick lab guide to get you started on how to use the Oracle Autonomous Database Platform.
In this article, I would like to walk you through a practical example of how we can take advantage of the Machine Learning capability in the Oracle Autonomous Database Platform and make decisions instantly.
Here is a background of our Fictitious company: Vision Housing Finance Corp that deals in home loans. They have a presence across all urban, semi-urban and rural areas. Customer first applies for a home loan after that company validates the customer eligibility for a loan.
Problem
VisionCorp wants to automate the loan eligibility process (real-time) based on customer detail provided while filling the online application form. These details are Gender, Marital Status, Education, Number of Dependents, Income, Loan Amount, Credit History and others. So they would like to understand if they can take their existing data sets and apply some machine learning to automate the loan decision-making process. You can download the historical dataset that this company has provided from here.
