Apr 8

9 min read

6 Sklearn Mistakes That Silently Tell You Are Rookie

There are no error messages — that’s what makes them subtle

Learn to avoid the 6 most serious mistakes related to ML theory in Sklearn beginners make.

Photo by EKATERINA BOLOVTSOVA from Pexels

Often, Sklearn throws big red error messages and warnings when you make a mistake. These messages suggest something is seriously wrong with your code…

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🥇Number #1 Writer in AI on Medium | Data Science Writer @ DataCamp | Kaggle Master | https://www.linkedin.com/in/bextuychiev/

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6 Sklearn Mistakes That Silently Tell You Are Rookie

There are no error messages — that’s what makes them subtle

More from Bex T.

Recommended from Medium

Generating Synthetic Images from textual description using GANs

Tutorials: How to create a simple chatbot with Dialogflow (No coding required!) — Part 2

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Every Model Learned by Gradient Descent Is Approximately a Kernel Machine (paper review)

How to Implement a Permute/Transpose Op 6 Times Faster Than PyTorch?

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