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.