Python has become the most popular data science and machine learning programming language. But in order to obtain effective data and results, it’s important that you have a basic understanding of how ...

Data School Kevin Markham’s data science and machine learning tutorials using Python and well-known tools like Scikit-Learn and Pandas are the main focus of Data School.

Aspiring data-science and machine-learning developers now have more Microsoft-made free video tutorials to learn how to build software in Python, one of today's most popular and versatile ...

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

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 ...

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

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

While Ronacher contributes little to Flask today – because new Python features for data science don't interest him – it's become popular for deploying machine-learning models thanks to an ...

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.

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