Thread by @mdancho84

90% of data scientists don't track their experiments.

Here's how to fix that with one line of code... 🧵

#datascience

Experiments are the lifeblood of a data scientist.

They help you answer questions like:

Which model performed best?
Which model is actively deployed?
When is the last time we updated the model?

But 90% of data scientist are just saving a model file and thinking their finished

Well, there's a tool called #MLFlow that simplifies this process and makes managing model lifecycle much easier.

And you can log your models in #MLFlow with 1 line of code...

Using #Pycaret!

Yep. Just run:

clf.setup(logging = True)

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