About the Course
Tool: Python
Machine Learning Technique: Logistic Regression, Support Vector Machines
Level: Advance
About the live project: Lending companies work by analysing the financial history of their loan applicants, and they choose whether or not the applicant is risky or not too risky. And if they are not risky at all, then they give them a loan and determine the terms of the loan. Companies can, of course, just organically wait for them to come to them through their website, their mobile app, or they can set up advertisement campaigns to reach out to those possible applicants. Other times, lending companies, partners with P2P lending marketplaces. Websites or companies that receive a lot of loan applications and who serve as intermediaries to link these applicants to lending companies. Aim is to assess the quality of the leads our company receives from these marketplaces by predicting whether or not they're going to reach a particular screen in onboarding process.
Your Instructor
Arzoo Sabharwal
Arzoo Sabharwal is Data Scientist in Advanced Analytics team of IBM.
She has good exposure to various tools like Watson Analytics, Watson Conversation Services, Watson Assistant, Watson Knowledge Studio and IBM Content Classification tool, R, Python, SPSS. She has a good academic background with graduation and post graduation in Economics from Delhi University.
https://www.linkedin.com/in/arzoo-sabharwal-2a474899