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Machine learning applying lasso regression to US county-level sociodemographic and health resource data

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Health Data - Machine learning

The aim of this exercise is to predict the supply of physicians in the US, measured as rate of physicians per 100k inhabitants at the US county-level, based on socio-demographic variables and then compare the performance of a linear regression versus lasso regression.

The main notebooks, with all the code, are in the src folder. The notebook 'Expl-Data-Analysis' contains the exploratory data analysis. The notebook 'OLS-&-Lasso-Regress' contains all the model estimations and performance evaluation

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Machine learning applying lasso regression to US county-level sociodemographic and health resource data

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