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.

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

The book “ Introduction to Machine Learning with Python “ present detailed practice exercises for offering a comprehensive introduction to machine learning techniques along with basics of Python.

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

Snowpark for Python gives data scientists a nice way to do DataFrame-style programming against the Snowflake data warehouse, including the ability to set up full-blown machine learning pipelines ...

Organizations are turning to machine learning because of the return on investment. The ones doing it in real-time are topping the charts.

TensorFlow is a Python-friendly open source library for developing machine learning applications and neural networks. Here's what you need to know about TensorFlow.

Important Update: Machine Learning Specialization Changes We are excited to inform you that the current Machine Learning: Theory and Hands-On Practice with Python Specialization (taught by Professor ...