Shiny Real Estate App with Zillow API | Learning Lab 28

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! Want the Shiny Real Estate App? Sign up for LL PRO: https://university.business-science.io/p/learning-labs-pro ---- 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 - 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 - Learning Path - GET 15% OFF 4-COURSE R-TRACK: Promo Code: learninglabs - 1:01:54