Machine Learning Algorithm for Tucson Housing Prices

January 9, 2019 in machine learning, housing

An overview of the workflow to generate a tested and tuned machine learning algorithm that takes recent information about sold in Tucson, AZ and accurately predicts the price they sold for. This is the first step in building an interactive app that people can use to determine the likely sale price of a house.

Keaton Wilson

Ecologist, data scientist, and creator. Over a decade of experience performing independent and collaborative research and qualitative and quantitative data analysis to generate thoughtful, intuitive insights that engage a broad audience. Creative and novel approaches to data visualization, analysis and design.

National Institute of Health PERT Research and Teaching Fellow

Tucson, Arizona

Machine Learning Algorithm for Tucson Housing Prices

Keaton Wilson

Machine Learning Algorithm for Tucson Housing Prices

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