Skip to content

Latest commit

 

History

14 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 

Repository files navigation

LTV Prediction

This repository demonstrates an approach to predict LTV, using an application of SciPy BFGS optimization method to approximate a retention curve using a parametric power/log/hyperbolic functions, to optimize the mean squared error.

About

This repository demonstrates an approach to predict LTV, using an application of SciPy BFGS optimization method to approximate a retention curve using a parametric power/log/hyperbolic functions, to optimize the mean squared error.

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages