As many of you may know at this point, I am relocating to South Florida. Final location to be determined, but will probably be renting around Pompano Beach or Fort Lauderdale while working out of Venture Hive and the Microsoft Fort Lauderdale Offices. So what does this have to do with Zillow? Well, It has EVERYTHING to do with Zillow. What I’ve found while searching for homes is that between Realtors, Zillow and Trulia, they really just don’t have a predictive analytics solution that works for me. So I decided to give a shot at AzureML to mash together a few datasets to send me notifications more to my liking than is currently being sent. So step 1 in this plan is to data mine Zillow. Luckily, Zillow has an api for that. Or if you are feeling particularly frisky, Zillow gets their data from ArcGIS (example for Raleigh). So lets get cracking…
Welcome to Part 2! We will be discussing Binary Classification. So I hope many of you have started using AzureML. If not, you should definitely check it out. Here is the link to the dev center for it. This article series will focus on a few key points.
Understanding the Evaluation of each Model Type.
Understanding the published Web Service of each Model
If you are looking for how to build a simple how to get started, check out this article.
The series will be broken down into a three parts.
Do you love sports? Do you love data analytics? Are you a STUDENT or a PROFESSIONAL? This is a call for student teams and mentors to participate in the AthleTECH challenge! Teams consist of 1-4 students and potentially a professional mentor.