A must-have machine learning library

What are the best aspects of this product?

I’m a satisfied user of this tool for many years now and I think the best thing about it is that it makes it easier to implement and use machine learning algorithms. I started using this tool when I was still a student and I am still using it until now. It helps me complete ML tasks faster.

Another thing, scikit-learn is becoming better and better and its algorithms remain up-to-date.

What aspects are problematic or could work better?

Scikit-learn is a decent library and through the years of using it, I still haven’t seen any disadvantage.

What specific problems in your company were solved by this product?

It is helping me implement ML related tasks such as training the models, preprocessing, calculating accuracies, and many more for about five years now. Through the years of use, I’ve already figure out how to maximize its value. Sometimes, I gave git push updates whenever I feel so. Overall, this tool lets you accomplish many things related to ML.

Are you a current user of this product?

Yes