Different libraries and packages that can be used for implementing machine learning models in Python:

NumPy:

Great for multi-dimensional array and matrices processing.

Website: https://numpy.org/

Pandas:

It is developed specifically for data extraction and preparation.

Website: https://pandas.pydata.org/

SciPy:

Good for images, statistics, linear algebra.

Website: https://www.scipy.org/

scikit-learn:

Supports several supervised and unsupervised algorithms.

Website: https://scikit-learn.org/stable/

Theano:

Theano is used to define, evaluate, and optimize mathematical expressions involving multi-dimensional arrays.

Website: https://pypi.org/project/Theano/

TensorFlow:

It is an open-source library for high performance numerical computation.

Website: https://www.tensorflow.org/

Keras:

It is a high-level neural networks API capable of running on top of the previous two libraries.

Website: https://keras.io/guides/functional_api/

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