GitHub - garroshub/A-B-Testing---Machine-Learning: A major issue with traditional, statistical-inference approaches to A/B Testing is that it only compares 2 variables - an experiment/control to an outcome. The problem is that customer behavior is vastly more complex than this. Customers take different paths, spend different amounts of time on the site, come from different backgrounds (age, gender, interests), and more. This is where Machine Learning excels - generating insights from complex systems.

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A major issue with traditional, statistical-inference approaches to A/B Testing is that it only compares 2 variables - an experiment/control to an outcome. The problem is that customer behavior is vastly more complex than this. Customers take different paths, spend different amounts of time on the site, come from different backgrounds (age, gend…

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Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
A B tests with Machine Learning.ipynb		A B tests with Machine Learning.ipynb
A B tests with Machine Learning.py		A B tests with Machine Learning.py
README.md		README.md
control_data.csv		control_data.csv
experiment_data.csv		experiment_data.csv