For this example, we will be using the Jupyter Notebook to train a machine learning algorithm with the classic Iris Flowers dataset. Although the Iris Flowers dataset is small, it will allow us to ...

Please note that not all code from all courses will be found in this repository. Some newer code examples (e.g. most of Tensorflow 2.0) were done in Google Colab. Therefore, you should check the ...

Python is used to power platforms, perform data analysis, and run their machine learning models. Get started with Python for technical SEO. Since I first started talking about how Python is being ...

Python’s been the language of data science since before machine learning was trendy, and now you can use it for building AI ...

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 ...

This tutorial shed some light on why Python is the preferred language for Machine Learning and AI and listed some of the best ML and AI libraries to choose from, including TensorFlow, SciPy, and ...

This book explains Machine Learning concepts using real life examples implemented in Python. The book “Introduction to Machine Learning with Python“ present detailed practice exercises for ...

The azureml-examples repository contains examples and tutorials to help you learn how to use Azure Machine Learning (Azure ML) services and features. If you're getting started with Azure ML, consider ...

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.