/AB-test

Analyze A/B test results for an e-commerce website

Primary LanguageJupyter Notebook

Analyze A/B Test Results

Introduction

Understand and analyze the results of an A/B test run by an ecommerce website. Help the company understand if they should implement a new page design.

Libraries

  • pandas
  • NumPy
  • Matplotlib
  • random
  • seaborn
  • csv

Table of Contents

  • Part I: Probability
  • Part II: A/B Test
  • Part III: Regression
  • Part IV: Conclusion