For the Jupyter Notebook that runs this project (HTML format) click this link:
A/B test on an e-commerce website was completed. Python, Pandas, NumPy, SciPy, Jupyter Notebooks, and Anaconda were utilized to conduct categorical logistic regression analysis and simulations of the data generated by the company’s website.
Additional slicing of the demographic data was also performed to determine if there were any significant behaviors in subsets of the user population. If this interests you please contact me.
This project was done as part of my course work at Udacity (www.udacity.com) for the Data Analyst Nano Degree (DAND).