From 950630766887bae3853142455a3687477f6f2d9d Mon Sep 17 00:00:00 2001 From: Rohan Kumar Mandal Date: Sun, 5 Jul 2026 18:40:10 +0545 Subject: [PATCH] Update Python resource link in README.md --- 1-Introduction/1-intro-to-ML/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/1-Introduction/1-intro-to-ML/README.md b/1-Introduction/1-intro-to-ML/README.md index bd9f8b004..7c2b3b93f 100644 --- a/1-Introduction/1-intro-to-ML/README.md +++ b/1-Introduction/1-intro-to-ML/README.md @@ -20,7 +20,7 @@ Welcome to this course on classical machine learning for beginners! Whether you' Before starting with this curriculum, you need to have your computer set up and ready to run notebooks locally. - **Configure your machine with these videos**. Use the following links to learn [how to install Python](https://youtu.be/CXZYvNRIAKM) in your system and [setup a text editor](https://youtu.be/EU8eayHWoZg) for development. -- **Learn Python**. It's also recommended to have a basic understanding of [Python](https://learn.microsoft.com/learn/paths/python-language/?WT.mc_id=academic-77952-leestott), a programming language useful for data scientists that we use in this course. +- **Learn Python**. It's also recommended to have a basic understanding of [Python](https://docs.microsoft.com/learn/paths/python-language/?WT.mc_id=academic-77952-leestott), a programming language useful for data scientists that we use in this course. - **Learn Node.js and JavaScript**. We also use JavaScript a few times in this course when building web apps, so you will need to have [node](https://nodejs.org) and [npm](https://www.npmjs.com/) installed, as well as [Visual Studio Code](https://code.visualstudio.com/) available for both Python and JavaScript development. - **Create a GitHub account**. Since you found us here on [GitHub](https://github.com), you might already have an account, but if not, create one and then fork this curriculum to use on your own. (Feel free to give us a star, too 😊) - **Explore Scikit-learn**. Familiarize yourself with [Scikit-learn](https://scikit-learn.org/stable/user_guide.html), a set of ML libraries that we reference in these lessons.