Discover five powerful Python libraries that enable data scientists to interpret and explain machine learning models effectively.

Machine learning programming is an in-demand skill. Learn how to program an ML application with Python in this tutorial.

Not necessarily for the data-science and machine-learning communities built around Python extensions like NumPy and SciPy, but as a general programming language.

While Python has long been recognized as a go-to programming language for data science and is often used to author machine learning models, the new project focuses on clean, idiomatic Python syntax ...

French researchers have developed a machine-learning model to clean low-power PV projects and standalone solar arrays in rural areas isolated from the grid.

Nvidia wants to extend the success of the GPU beyond graphics and deep learning to the full data science experience. Open source Python library Dask is the key to this.

A Python implementation of the Torch machine learning framework, PyTorch has enjoyed broad uptake at Twitter, Carnegie Mellon University, Salesforce, and Facebook.

Machine Learning: Theory & Hands-On Practice with Python Specialization In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use ...

Start your journey into machine learning with EEG time-series data in this easy-to-follow Python project. Perfect for ...