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Challenge 20 - Which Model is Best for Median Housing Price Prediction

<p>Challenge 20: Which Model is Best for Median Housing Price Prediction?</p><p><strong>Level: </strong>Easy</p><p><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?&nbsp;</p><p><em>Beginner-friendly Objectives:</em></p><ol><li><p>Read in and clean the dataset</p></li><li><p>Apply at least two models (e.g., Random Forest Regression and Linear Regression) and compare results</p></li></ol>

URL: https://www.kaggle.com/datasets/camnugent/california-housing-prices/data https://www.kaggle.com/datasets/camnugent/california-housing-prices/data

Challenge 20: Which Model is Best for Median Housing Price Prediction?


Level: Easy

Description: You work for a real estate company and want to evaluate if machine learning can help you determine median housing prices better. Which models would you select first to start studying and comparing techniques? 

Beginner-friendly Objectives:

  1. Read in and clean the dataset

  2. Apply at least two models (e.g., Random Forest Regression and Linear Regression) and compare results

read housing dataset
CSV Reader
remove missing values
Missing Value
drop lat/lonwe already have ocean proximity
Column Filter
Table Partitioner
Linear Regression Learner
score for random forest
Numeric Scorer
Regression Predictor
score for regression
Numeric Scorer
Random Forest Learner (Regression)
Random Forest Predictor (Regression)

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