Learn how to use UML tools to create and share UML diagrams from your Python code. Follow these six steps to reverse engineer, document, and communicate your code design.

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 ...

Teaching yourself deep learning is a long and arduous process. You need a strong background in linear algebra and calculus, good Python programming skills, and a solid grasp of data science ...

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

In this introductory tutorial, you’ll learn the basics of Python for machine learning, including different model types and the steps to take to ensure you obtain quality data, using a sample machine ...

Yuxi (Hayden) Liu is an author of a series of machine learning books and an education enthusiast. His first book, the first edition of Python Machine Learning By Example, was a #1 bestseller in Amazon ...

This is the repository for the LinkedIn Learning course Learning Python. The full course is available from LinkedIn Learning. Python—the popular and highly-readable object-oriented language—is both ...

Python Programmer is a YouTube channel that belongs to Giles McMullen-Klein, a former physicist and data scientist. The channel teaches Python for data science and analysis, using real-world examples ...

Why Python for Deep Learning. Python is a popular programming language for deep learning due to its simplicity, flexibility, and the availability of a vast array of open-source libraries.