Real Estate MoneyBall
Written by Daniel Poston on May 4th, 2017

Back in 2017 when I was transitioning to a career in Data Science & Analytics I wrote these blog posts for DataCamp about using data to analyze aspects of Major League Baseball. Now I use data to give real estate teams superpowers for their sales and marketing. 

A scikit-learn tutorial to predicting MLB wins per season by modeling data to KMeans clustering model and linear regression models. Click here to view part 1...

A Scikit-Learn tutorial to using logistic regression and random forest models to predict which baseball players will be voted into the Hall of Fame. Click here to view part 2...

Daniel Poston

Daniel Poston helps real estate teams sell more homes and grow faster. He is an expert at helping teams increase sales conversion rates using effective, proven real estate data platforms.
If you're interested in selling more homes with predictability then definitely reach out and request a free strategy session today.
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