For this workshop, we are using the coding language python, one of the most common ML coding laguagues.

You are able to run the code for yourself since we're using colab notebooks which are kinda like Google Docs of Python (based on the open source library of jupyter - formerly iPython notebooks (notice how this file type is ipynb? now you know!)).

We won't go into the details, but essentially colab makes it really easy to run and share our code in our browsers without needing to code in terminal or using a text editor, which you might use when making a website or coding with html/css and javascript.

Here's what we will cover today:

1. What is ML? 🤔💭🤖
2. Data prep 🐧🐧🐧
3. Training your model 🏋🏻‍♀️💪
4. Model evaluation 📊🔍👀
5. Next steps... and more! 🏆✨