Feb. 19, 2024, 8:55 p.m. | Vinod Chugani

Blog machinelearningmastery.com

The Chi-squared test for independence is a statistical procedure employed to assess the relationship between two categorical variables – determining whether they are associated or independent. In the dynamic realm of real estate, where a property’s visual appeal often impacts its valuation, the exploration becomes particularly intriguing. But how often do you associate a house’s […]


The post Garage or Not? Housing Insights Through the Chi-Squared Test for Ames, Iowa appeared first on MachineLearningMastery.com.

categorical data science dynamic exploration housing impacts independent insights iowa property real estate relationship statistical test through valuation variables visual

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Director, Clinical Data Science

@ Aura | Remote USA

Research Scientist, AI (PhD)

@ Meta | Menlo Park, CA | New York City