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Minimizing churn of subscription products through analysis of finances

Price

INR 495

Duration

3-4 hours

About the Course

Tool: Python
Machine Learning Technique: Logistic Regression
Level: Advance

About the live project: To build a model to identify these users who are not likely to enroll in the paid version of the app. By doing this, the company can spend a lot more money targeting these users and save money by not targeting those who enroll in its. By working for a company with a mobile app, we have access to very rich data, especially about the behaviours of all of our users. This is characterized as the app squeeze. The company wants to launch marketing campaigns, target users shortly after the free trial ends.

Your Instructor

Arzoo Sabharwal

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

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