JKISeason 4-20 - Which Model is Best for Median Housing Price Prediction

<p><strong>Challenge 20: Which Model is Best for Median Housing Price Prediction?</strong></p><p><strong>Level: </strong>Easy<br><br><strong>Description:</strong> You work for a real estate company and want to evaluate if&nbsp;machine learning can help you determine median housing prices better. Which models would you select first to start studying and comparing techniques?<br><br><em>Beginner-friendly Objectives:</em><br>1. Read in and clean the dataset.<br>2. Apply at least two models (e.g., Random Forest Regression and Linear Regression) and compare results.<br><br><strong>Author: Thor Landstrom</strong><br><br><strong>Dataset:</strong> <strong>Housing Prices Data on KNIME Community Hub</strong><br><strong><br></strong>Remember to upload your solution with tag&nbsp;<strong>JKISeason4-20</strong>&nbsp;to your public space on KNIME Community Hub. To increase the visibility of your solution, also post it to&nbsp;<strong>this challenge thread</strong>&nbsp;on KNIME Forum.</p>