What is the role of frameworks of Scikit-learn, Keras, TensorFlow, and PyTorch?

Data Science, AI and ML
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Scikit-learn is an open-source and industry-standard Machine Learning package. It’s like a single umbrella that encompasses all data preparation, feature selection, and machine learning techniques. It builds on the two most significant libraries, Numpy and SciPy, which are used for scientific computing and data analysis, respectively, and statistical, mathematics, scientific, engineering, and technical computing, respectively.

Keras is a Python-based open-source library for artificial neural networks. It’s intended to let you experiment with deep neural networks quickly.

TensorFlow is an open-source data flow and differential programming framework. It is employed in the production of machine learning applications.

PyTorch is a machine learning library based on the Torch library that is a free source. It’s utilized in computer vision and natural language processing, among other things. Facebook’s AI Research Lab was largely responsible for its development.