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Top Python Machine Learning Libraries - 2020

Top Python Machine Learning Libraries - 2020
1.Tensor Flow : TensorFlow is a free and open source software library for dataflow and differentiable programming across a range of tasks.It is a symbolic match library, and is also used for machine learning applictaions such as neural networks.

2.Keras : Keras is an open source neural network library written in Python. Designed to enable fast experimentation with deep neural networks,it focuses on being user friendly, modular, and extensible.

3.PyTorch : PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural langauge processing. 

4.NumPy : NumPy is a library for the Python programming langauge adding support for large multi dimensional arrays and matrices along with a large collection of high level mathematical functions to operate on these arrays. 

5.Scikitlearn : Scikitlearn is a free software machine learning library for the Python programming language. It features various classification, regression, and clustering algorithms such as SVMs, Random Forest etc.

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