This project was completed as a part of Udacity's Data Science Nanodegrees and consists of the following three parts:
Part I - Probability
Part II - A/B Test
Part III - Regression
It analyses conversion of users on a website, sets and tests a hypothesis, visualizes the results with matplotlib and uses statsmodels and scipy to evaluate the results.
Finally, by using statsmodels we fit a regression model to see if there is a significant difference in conversion based on which page customers receive.
pandas
numpy
random
matplotlib.pyplot
statsmodels.api