Intro to Machine Learning with Python with scikit-learn скачать в хорошем качестве

Intro to Machine Learning with Python with scikit-learn

Workshop links: GitHub: https://github.com/sagecodes/intro-ma... Colab notebook: https://colab.research.google.com/git... ML & MLOps Slack: https://slack.flyte.org/ Flyte, an open source MLOps tool! https://github.com/flyteorg/flyte Connect with Sage on LinkedIn:   / sageelliott   We'll dive into machine learning fundamentals and build train a model with Python in this beginner-friendly workshop! What You'll Learn: What is Machine Learning Who uses Machine Learning Careers in Machine Learning Overview of common models and uses Build a machine learning model for classification in Python Some common practices to keep in mind when deploying models in production How to Prepare: Have a modern web browser installed Create a Google account if you don't already have one (We will be using an online code editor by Google) Having two monitors can be helpful for following along. About the instructor: Sage Elliott is an AI engineer who loves educating people and making ML applications more reliable. I've taught thousands of people during live workshops how to get started with Python, machine learning, computer vision, and AI observability. Sage has worked in hardware, software, machine learning roles at various startups and agencies for over a decade. Currently Sage is making AI piplines better at Union. Connect with Sage on LinkedIn:   / sageelliott