Predicting Housing Prices with Linear Regression using Python, pandas, and statsmodels

This post was originally published here In this post, we’ll walk through building linear regression models to predict housing prices resulting from economic activity. Topics covered will include: What is Regression Variable Selection Reading in the Data with pandas Ordinary Least Squares (OLS) Assumptions Simple Linear Regression Regression Plots Multiple Linear Regression Another Look at […]

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What is Model-Based Machine Learning?

About Tom: Tom Diethe is a research fellow on the SPHERE project at the University of Bristol. His research interests include probabilistic machine learning, computational statistics, learning theory, and data fusion. He has a PhD in machine learning applied to multivariate signal processing from University College London. Contact him at tom.diethe@bristol.ac.uk. Introduction If you haven’t […]

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