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Machine Learning: Lasso Regression using Python – Alcohol intake based on physical and social attributes
Lasso regression (AKA Penalized regression method) is often used to select a subset of variables. It is a supervised machine learning method which stands for “Least Absolute Selection and Shrinkage Operator”. The shrinkage process identifies the variables most strongly associated … Continue reading
Posted in Blog/Updates, Software, Tutorials
Tagged lasso regression, machine learning, open source, penalized regression method, python, random forests
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