Train robust classification models on noisy tabular data!
Introducing CleanLearning! 🚀
Now you can automatically identify all mislabeled samples in your data & train robust models.
The best part, all it needs is a few line of code!
Let's say you Already have an sklearn compatible model, tabular data and given labels.
Here's all you need to do👇
You must be wondering how it works! 💭
CleanLearning by
@CleanlabAI is developed by folks at MIT, and it's powered by a novel algorithm called Confident Learning!
Below, I have provided a simplified explanation of the same!
Check this out👇
Cleanlab also has a no-code studio that let's you clean any data & train robust models in just a few clicks!
I have shared all the relevant links in the next tweet!
That's a wrap, thanks for reading!
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@akshay_pachaar ✔️
For more content like this!
Cheers! 🥂