Business vector created by macrovector - www.freepik.com
The goal of this repository is to explore different methods of AB Testing Marketing or Product Changes to determine their effectiveness.
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The project uses data from Kaggle to simulate performing an AB Test or Randomized Evaluation.
To get a local copy up and running follow these simple steps.
List of required packages.
-
pandas
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numpy
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seaborn
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matplotlib.pyplot
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scipy
- Clone the repo
git clone https://github.com/jtourkis/AB_Testing.git
- Install packages
pip install package
Use this space to show useful examples of how a project can be used. Additional screenshots, code examples and demos work well in this space. You may also link to more resources.
For more examples, please refer to the Documentation
AB Test Methods Used:
- Two Sample T Test Bernoulli Distribution
- Boot Strapping: T Testing a Sampling Distribution
See the open issues for a list of proposed features (and known issues).
Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature
) - Commit your Changes (
git commit -m 'Add some AmazingFeature'
) - Push to the Branch (
git push origin feature/AmazingFeature
) - Open a Pull Request
Distributed under the MIT License. See LICENSE
for more information.
Note: The intial README Template was distributed under the MIT License. Copyright (c) 2018 Othneil Drew. LICENSE for more information.
James Tourkistas - [email protected]
Project Link: https://github.com/jtourkis/AB_Testing