py-why / dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

Home Page:https://www.pywhy.org/dowhy

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Move case studies to a location where those are freely accessible

achanda opened this issue · comments

Is your feature request related to a problem? Please describe.
The current case studies in the main readme point to medium posts behind paywalls. These should be in publicly accessible locations, not behind a paywall.

Describe the solution you'd like
The case studies should be accessible without a paywall.

Describe alternatives you've considered
None

Additional context
Specific links are
https://towardsdatascience.com/beyond-predictive-models-the-causal-story-behind-hotel-booking-cancellations-d29e8558cbaf
https://towardsdatascience.com/implementing-causal-inference-a-key-step-towards-agi-de2cde8ea599
https://medium.com/geekculture/a-quickstart-for-causal-analysis-decision-making-with-dowhy-2ce2d4d1efa9