Powerful yet simple deep learning api and machine learning library for python

What are the best aspects of this product?

It is easy to create and run ML algorithm for any model. Whenever I need to utilize a linear regression model, I simply call its object, train my data on it, and predict when needed. Whenever I need a KNN for face recognition I simply call its KNN classifier with the right hyper parameters and utilize it in the face recognition model. It’s very simple. There are also several custom datasets available which can be easily imported and used. Overall, simplicity is the best thing about this tool.

What aspects are problematic or could work better?

I haven’t found any cons yet. Scikit-learn is a great library.

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

It’s a time saver. Recently, I use this tool to develop a face recognition classifier that classifies faces in real-time. I utilized the KNN classifier, tune the hyperparameters and the result was good. With this tool, I didn't spend much time creating stuff from the ground up. It offers tools to help you accomplish your tasks faster. Generally, scikit-learn helps me develop machine learning models and utilizing them in live apps.

Are you a current user of this product?

Yes