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Udacity nanodegree projects: DLND, DRLND, DAND
A/B Testing Result Analysis on Total Conversion
For this project, I will be working to understand the results of an A/B test run by an e-commerce website. The goal is to work through this notebook to help the company understand if they should implement the new page, keep the old page, or perhaps run the experiment longer to make their decision.
This is a Python reproduction of the original case study performed in R language- 'A/B Testing with Machine Learning - A Step-by-Step Tutorial written by Matt Dancho of Business Science'
This repository showcases an infrastructure designed for analyzing A/B tests in mobile games. It leverages BigQuery to process Firebase and GA4-based event data and uses Looker Studio for dynamic visualization. The project simplifies A/B test comparisons, enabling stakeholders to view results directly through interactive dashboards.
google-colab recommendation-system machine-learning ab-testing sql
Udacity Project 2 - AB Testing Analysis. Utilize practical statistics, regression, and other data analysis tools to help the company determine if they should implement a new webpage.
Using SQL we analyze the AB Test results to determine which test has the best effectiveness based on customer views and order response
A/B tests for themes case study
A data-driven A/B test analysis of 588k+ users to measure ad campaign effectiveness. Calculated a 43% Conversion Lift and validated results using Chi-Square hypothesis testing for statistical significance.
A/B testing Project for Cookie Cats Mobile Game
A/B testing and ML analysis to predict user purchases in an e-commerce setting
MDE calculator for AB testing projects to calculate your sample size properly.
This project is about A/B testing experiment conducted by Udacity, an e-learning platform, with the goal of reducing the number of users who leave the course at the end of the free-trial period.
Frequentist A/B-test RPU Calculator in PyShiny
AB Testing analysis from Udacity, including determining the experiment size and analyzing the results.
statistical infos (z-/p-values) for AB testing
Replication of a RCT (A/B Test) originally done by Dr. Andrew Friedson.
Analyzing A/B Test Results of E-Commerce Website
A simple web app that helps identify statistical interactions between A/B tests.
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