In a typical bank loan department, the loan agent receives an application from a customer. The loan then considers several factors to decide whether the loan is approved or rejected. To help ease this decision-making process, this code pattern explains how to build a web-based application using Python Flask that the loan agent can use to make these decisions. This enables the loan agent to analyze the risk involved while trying to approve the loan.
After this session you will know how to make a Watson Machine Learning REST API call, Send and receive messages to a machine learning model deployed using Watson Machine Learning using REST APIs and Integrate IBM Cloud Pak for Data Watson Machine Learning services in a web app.
– Sbusiso Mkhombe, IBM Developer Advocate
– Mridul Bhandari, IBM Developer Advocate
– Sign up for your IBM Cloud Account: https://ibm.biz/BdqLmP
– Register for the live stream:
Check out the resources which will help you: Learn – Develop – Connect
IBM Developer (https://developer.ibm.com)
Red Hat courses (https://www.redhat.com/en/services/training/all-courses-exams)
MEA Meetup Page (https://www.meetup.com/IBM-Cloud-MEA/)