It seems that deploying an ML pipeline for the Titanic dataset is a right of passage into classic machine learning. So I decided to publish yet another notebook on the subject. The python code in this repo deploys a pipeline to train multiple ML model and compare results.
-
Notifications
You must be signed in to change notification settings - Fork 0
Deploy a pipeline to train multiple ML model and compare results.
License
scriptbuzz/titanic_ml_multimodel
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Deploy a pipeline to train multiple ML model and compare results.