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Meet 7: Analytics and Land

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Ritvvij P.
Meet 7: Analytics and Land

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Session 1: Collaboration via Intent: Recommender systems where collaboration and content meet (30-45 minutes)

Speaker: Paul Meinshausen, VP of Data Science Housing.com

This talk will discuss the problem of recommendations in a scenario where neither collaboration nor content based methods can be applied directly.

Session 2: How much is an apartment worth? (30-45 minutes)

Speaker: Sourabh Rohilla, Data Scientist at Housing.com

What features of a property or locality account for its listing price? This talk will explore how we can predict a base valuation of a property using data science. We'll focus on some of the unique challenges of working with real estate data in India.

Session 3: Visual Story Telling (30-45 minutes)

Speaker: Yogesh Upadhyaya of AskHowIndia.org (http://www.askhowindia.org/)

• How to use facts, data and visual story telling techniques to make your point?

• Case Study: Land Acquisition Bill

• More examples

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DataMeet Mumbai
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Room 105, Sardar Patel Institute of Technology, Andheri West
Near Azad Nagar Reliance Metro Station (Bhavans Campus) · Mumbai