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🌳 Dortmund real estate market analysis: tree-based methods

September 27, 2017
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🌳 Dortmund real estate market analysis: tree-based methods

In pervious posts traditional regression models were fitted to real estate data. In this post tree-based models, namely random forests and gradient boosting, are trained to predict prices of the rent. These methods typically outperform traditional regression models yielding smaller errors. Furthermore, tree-based methods are much more robust to overfitting, which makes them superior in terms of prediction. However,...

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🏠 Dortmund real estate market analysis: GLM and GAM

September 22, 2017
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🏠 Dortmund real estate market analysis: GLM and GAM

This post is dedicated to model prices of real estate by an area and a number of rooms using generalized linear model (GLM) and generalized additive model (GAM). Previous post shows how data was obtained, while in the other post the linear model is fitted to the data.

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