Data Science in Action

Details

Agenda:
10:30 AM - 10:45 AM: Zapr Introduction
Speaker: VarunKhurana

10:45 AM - 11:45 AM: Real-world implementation of Recommender Systems
Description - Understand the actual implementation of a recommender system that could be used in an e-commerce company such as Amazon or Flipkart. This talk discusses many real-world use cases of Machine Learning and EDA in building a recommender system and explains how such an efficient model is built to attract customers.
Speaker: Vinay BN

11:45 AM - 12:00 PM: Break

12:00 PM - 01:00 PM: Data Science@Zapr
Description - Case Study - User Personas: Nuances in Profiling 30 million TV Viewers in India
Speaker: Litan Kumar Mohanta

01:00 PM - 01:15 PM: Networking