Shiny Real Estate with Zillow API (Free Course)

Written by Matt Dancho on February 10, 2020



Zillow is a FREE TOOL with an API that allows Data Scientists to connect to a massive repository of Home Prices and Features. In this lab, we use Shiny, Crosstalk, and Zillow API to create an ML-powered Zillow Home Price Explanation tool.

This is an amazing, end-to-end data science lab. Follow along, and learn how I built a Shiny Real Estate App that uses XGBoost, DALEX, Crosstalk, Plotly, Leaflet, and more!

Register for upcoming Learning Labs here (for FREE). I just kicked off the Shiny API Series:

  • Lab 28: Shiny + Zillow API, Real Estate
  • Lab 29: Shiny + Quandl API, Energy
  • Lab 30: Shiny + Tidyquant API, Finance
  • Lab 31: Shiny + Google Analytics API, Marketing


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Shiny Real Estate App with the Zillow API - Learning Lab 28 (Free Sample Course)

Table of Contents

  • Shiny API Series - 2:26
  • Agenda - 4:31
  • Shiny Real Estate App Demo - 7:03
  • Business Case: Why Make a Zillow App? 16:31
  • Machine Learning Workflow - 20:25
  • 30-Minute Code Demo - 22:51
    • Project Files - 23:41
    • Real Estate Analysis - 25:06
      • 1.0 Libraries - 25:13
      • 2.0 Zillow API - Setup - 27:01
      • 3.0 Zillow API - Basics - 28:45
      • 4.0 EDA & Preprocessing (Skimr, DataExplorer, Recipes) - 32:11
      • 5.0 Machine Learning (XGBoost) - 37:57
      • 6.0 Visualizations (Leaflet, Plotly) - 41:29
      • 7.0 Explainable Machine Learning (DALEX) - 42:53
    • Shiny Crosstalk Demo - 46:02
    • Shiny Real Estate App - 49:41
  • 3 Pro Tips - 55:59
  • Special Offer: GET 15% OFF 4-COURSE R-TRACK: Promo Code: learninglabs - 1:01:54

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