Machine Learning for Beginners - Set up Jupyter Notebooks to start building regression models [Pt 6] | Machine Learning for Beginners

🛠️🌐💻 In this tutorial, we'll walk you through the process of setting up a Jupyter notebook using a virtual environment for machine learning projects. This video is part of our Machine Learning for Beginners series, and we'll be using Jupyter notebooks for most of our future videos in this course. In this video, presented by Bea Stollnitz, Principal Cloud Advocate at Microsoft, you'll learn: ✅ How to work with Jupyter notebooks in VS Code ✅ How to clone and navigate through the GitHub project we'll be using in this series ✅ How to create a virtual environment using Python's venv module ✅ How to install commonly used data science and ML packages in the virtual environment ✅ How to set up and use the virtual environment in your Jupyter notebook Make sure to subscribe and hit the notification bell 🔔 so you won't miss our upcoming videos, where we'll dive deeper into various machine learning topics and guide you through their implementation using Python code in Jupyter notebooks. See you there! 📙 Follow along The Jupyter Notebook to follow along with this lesson is available here: https://github.com/microsoft/ML-For-Beginners/tree/main/2-Regression/1-Tools If you don't have all the tools you need installed, you can find a guide in this video: https://youtu.be/-DfeD2k2Kj0 #MachineLearning #JupyterNotebook #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 0:00 - Intro 0:54 - How to run the Jupyter notebook in a GitHub Codespace 1:07 - How to run the Jupyter notebook locally 1:43 - What is a Jupyter notebook? 2:33 - Install Python packages in a virtual environment 3:32 - The Python packages for ML - pandas, matplotlib, numpy, scikit-learn, ipykernel 4:20 - Use the virtual environment in a Jupyter notebook in VS Code