This category will contain machine learning tutorials and examples (sources include algorithms from Scikit-Learn learn, Tensorflow etc)

What's the difference between scikit-learn and tensorflow? Is it possible to use them together?

TensorFlow is more of a low-level library that implements the Lego bricks of deep neural networks suitable for implementation on accelerators, such as  GPUs, TPUs and DSPs.  Scikit-Learn on the other hand comes with off-the-shelf algorithms, e.g., algorithms for classification such as SVMs, Random Forests, Logistic Regression, and many, many more. 

 

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