pymc-learn is a library for practical probabilistic machine learning in Python. It provides a variety of state-of-the art probabilistic models for supervised and unsupervised machine learning. It is ...

This is the code repository for Hands-On Machine Learning with Scikit-Learn and TensorFlow 2.0 [Video], published by Packt. It contains all the supporting project files necessary to work through the ...

In the world of machine learning, Python is a major player and provides a set of powerful libraries for both tasks, TensorFlow and sci-kit-learn. TensorFlow by Google is famous for deep learning, ...

If you have a good grasp of Python basics and want to start learning about machine learning and deep learning, then this is the book for you. This is an essential resource written for developers and ...

If you’re a Python fan, Scikit-learn may well be the best option among the plain machine learning libraries. If you prefer Scala, then Spark ML might be a better choice.

Python has a plethora of machine learning libraries, but the top 5 libraries are TensorFlow, Keras, PyTorch, Scikit-learn, and Pandas. These libraries offer a wide range of tools for various ...

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

It includes a brief introduction to Python and its libraries and how to implement this language in machine learning. Click here to get started. 6. Machine Learning In Python by Amazon. In this e-book, ...

There are many open-source machine learning libraries for Python, including TensorFlow, PyTorch, Scikit-learn, Keras, and Theano. These libraries are free to use and have a large community of ...