Shiny Real Estate with Zillow API (Free Course)
				
				Written  by Matt Dancho 
				
	  		
	  		
	    	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.
  
  Shiny Real Estate App
 
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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Wrangling 4.6M Rows of Time Series Data with data.table - Learning Lab 13
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