Skip to content

Series of notebooks for data driven growth analysis

Notifications You must be signed in to change notification settings

fgvardijan/growth-analysis

Repository files navigation

Data Driven Growth

In this series of notebooks notebooks I explore how to measure, analyze and drive growth by applying predictive approach to all actions with a combinations of programming, data analysis and machine learning.

Topics covered are :

  1. Calcuating important metrics
  2. Customer segmentation, RFM clusters
  3. Customer lifetime value prediction
  4. Churn prediction
  5. Predicting next purchase day
  6. Predicting sales
  7. Market response models
  8. Uplift modeling
  9. A/B testing design and execution

About

Series of notebooks for data driven growth analysis

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published