Machine Learning for Beginners - Setup your tools ready to build Machine Learning models [Part 4] | Machine Learning for Beginners

🛠⚙️🔧 Welcome to Lesson 4 of our Machine Learning for Beginners course, presented by Bea Stollnitz, a Principal Cloud Advocate at Microsoft! In this video, we'll walk you through the tools you need to work with the ML code in the repo associated with this video series. As you progress in your machine learning journey, you'll develop your own preferences for tools and workflow, but for now, we'll focus on the most basic set of tools that require the least configuration. In this video, you'll learn about: ✅ Using GitHub Codespaces - https://github.com/features/codespaces ✅ Installing and configuring Python - https://learn.microsoft.com/training/modules/python-install-vscode/3-exercise-install-python3 ✅ Installing Visual Studio Code - https://code.visualstudio.com ✅ Installing Git on Windows - http://gitforwindows.org We'll provide step-by-step instructions for setting up your development environment on Windows, macOS, and Linux, so you can easily follow along with the rest of the course. Don't forget to subscribe and hit the notification bell 🔔 so you won't miss the next video in this series, where we'll dive into regression and get ready to start writing and running some ML code. See you there! 0:00 - Intro 0:36 - Using GitHub Codespaces to run the notebooks in this course 1:08 - Install Python on Windows. macOS or Linux 2:48 - Jupyter notebooks 3:07 - Install VS Code 3:25 - Install the Python extension for VS Code 3:41 - Install Git on Windows #MachineLearning #ToolSetup #Python #ML 📚 Learn more: This course is based on the free, open source, 26 lesson ML For Beginners curriculum from Microsoft, which can be found at https://aka.ms/ml-beginners. 📇 Connect with Bea: Blog: https://bea.stollnitz.com/blog/ LinkedIn: https://www.linkedin.com/in/beatrizstollnitz/ Twitter: https://twitter.com/beastollnitz