Shiny Real Estate with Zillow API (Free Course)

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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

Watch Now
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

Interested in Learning Labs?
We have 28 courses and more coming every 2-weeks

Learning Labs PRO

Wrangling 4.6M Rows of Time Series Data with data.table – Learning Lab 13
Available in Learning Labs PRO

We release new Learning Labs every 2-Weeks. And our Course List is growing – with over 27 courses now! Enroll in Learning Labs PRO Membership, and unlock access to:

  • 1-Hour Video Courses on Marketing, Finance, Business, and Machine Learning
  • Code Projects – Each Lab is a self-contained R Project using tools like R, Shiny, data.table, and more.
  • Course List – Up to 27 Courses and growing every 2-weeks!

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