Monthly Archives: July 2017

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

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Machine Learning: Random Forests using Python – Alcohol intake based on physical and social attributes

The decision tree in the previous posts is useful in exploring how variables can predict a particular target or response.However, small changes in data can lead to different results. Like decision trees, Random Forests also assesses variables with respect to … Continue reading

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Machine Learning: Making Decision Trees using Python – Adolescent Sex and Parenting

A decision tree can predict a particular target or response. The decision tree below was made by me using machine learning to test against several relationships which can be found in the National Longitudinal Study of Adolescent Health survey performed … Continue reading

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The issues with migration to Linux: A practical guide

  In this article, we explore the conditions on helping users migrate to Linux, motivations for migration as well as the reasons for resistance to migration. Finally, I provide some strategies to assist migration¬†successfully with happy end-users.¬†If you are a … Continue reading

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