Skip to content

Building a model is just one piece of the puzzle in data science; explaining how it works is just as important, especially in finance where transparency and explainability is key.

License

Notifications You must be signed in to change notification settings

pyladiesams/intro-to-explainabilty-in-finance-oct2024

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

What's inside the box? An introduction to explainability in finance

Presentation: Presentation_name

Workshop description

Building a machine learning model is just one piece of the puzzle in data science; explaining how it works is just as important, especially in finance where transparency and explainability are key.

During this workshop, we'll show you how to look inside your model and understand what’s going on. We'll explore techniques to make your models easier to explain and discuss their opportunities and downfalls.

Requirements

Do not forget to indicate Python version and any other tools

  • add requirements.txt or conda.yml or docker image or Binder/Google Collab link

Usage

  • Clone the repository
  • Start { TOOL } and navigate to the workshop folder

Video record

Re-watch this YouTube stream

Credits

This workshop was set up by @pyladiesams, @mazych, @pearljampeet

About

Building a model is just one piece of the puzzle in data science; explaining how it works is just as important, especially in finance where transparency and explainability is key.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published