From 7afb424b5f4986b812e183f950a77a7a54454b75 Mon Sep 17 00:00:00 2001 From: Mohit Jaisal Date: Sat, 30 Oct 2021 04:08:50 +0530 Subject: [PATCH] Added ml.gif (#449) --- README.md | 62 ++++++++++++++++++++++++++++-------------------------- ml.gif | Bin 0 -> 363930 bytes 2 files changed, 32 insertions(+), 30 deletions(-) create mode 100644 ml.gif diff --git a/README.md b/README.md index 738afd2f..f0d72a89 100644 --- a/README.md +++ b/README.md @@ -22,7 +22,7 @@ Travel with us around the world as we apply these classic techniques to data fro **🙏 Special thanks 🙏 to our Microsoft Student Ambassador authors, reviewers, and content contributors**, notably Rishit Dagli, Muhammad Sakib Khan Inan, Rohan Raj, Alexandru Petrescu, Abhishek Jaiswal, Nawrin Tabassum, Ioan Samuila, and Snigdha Agarwal -**🤩 Extra gratitude to Microsoft Student Ambassador Eric Wanjau for our R lessons!** +**🤩 Extra gratitude to Microsoft Student Ambassador Eric Wanjau for our R lessons!** --- @@ -46,7 +46,9 @@ Travel with us around the world as we apply these classic techniques to data fro ## Meet the Team -[![Promo video](ml-for-beginners.png)](https://youtu.be/Tj1XWrDSYJU "Promo video") +[![Promo video](ml.gif)](https://youtu.be/Tj1XWrDSYJU "Promo video") + +**Gif by** [Mohit Jaisal](https://linkedin.com/in/mohitjaisal) > 🎥 Click the image above for a video about the project and the folks who created it! @@ -77,34 +79,34 @@ By ensuring that the content aligns with projects, the process is made more enga > **A note about quizzes**: All quizzes are contained [in this app](https://white-water-09ec41f0f.azurestaticapps.net/), for 52 total quizzes of three questions each. They are linked from within the lessons but the quiz app can be run locally; follow the instruction in the `quiz-app` folder. -| Lesson Number | Topic | Lesson Grouping | Learning Objectives | Linked Lesson | Author | -|:-------------:|:----------------------------------------------------------:|:---------------------------------------------------:|---------------------------------------------------------------------------------------------------------------------------------|:-------------------------------------------------------------:|:--------------:| -| 01 | Introduction to machine learning | [Introduction](1-Introduction/README.md) | Learn the basic concepts behind machine learning | [Lesson](1-Introduction/1-intro-to-ML/README.md) | Muhammad | -| 02 | The History of machine learning | [Introduction](1-Introduction/README.md) | Learn the history underlying this field | [Lesson](1-Introduction/2-history-of-ML/README.md) | Jen and Amy | -| 03 | Fairness and machine learning | [Introduction](1-Introduction/README.md) | What are the important philosophical issues around fairness that students should consider when building and applying ML models? | [Lesson](1-Introduction/3-fairness/README.md) | Tomomi | -| 04 | Techniques for machine learning | [Introduction](1-Introduction/README.md) | What techniques do ML researchers use to build ML models? | [Lesson](1-Introduction/4-techniques-of-ML/README.md) | Chris and Jen | -| 05 | Introduction to regression | [Regression](2-Regression/README.md) | Get started with Python and Scikit-learn for regression models | | | -| 06 | North American pumpkin prices 🎃 | [Regression](2-Regression/README.md) | Visualize and clean data in preparation for ML | | | -| 07 | North American pumpkin prices 🎃 | [Regression](2-Regression/README.md) | Build linear and polynomial regression models | | | -| 08 | North American pumpkin prices 🎃 | [Regression](2-Regression/README.md) | Build a logistic regression model | | | -| 09 | A Web App 🔌 | [Web App](3-Web-App/README.md) | Build a web app to use your trained model | [Python](3-Web-App/1-Web-App/README.md) | Jen | -| 10 | Introduction to classification | [Classification](4-Classification/README.md) | Clean, prep, and visualize your data; introduction to classification |