ML-For-Beginners/4-Classification/README.md

# Getting started with classification

## Regional topic: Delicious Asian and Indian Cuisines 🍜

In Asia and India, food traditions are extremely diverse, and very delicious! Let's look at data about regional cuisines to try to understand their ingredients.

![Thai food seller](./images/thai-food.jpg)
> Photo by <a href="https://unsplash.com/@changlisheng?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Lisheng Chang</a> on <a href="https://unsplash.com/s/photos/asian-food?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Unsplash</a>
  
## What you will learn

In this section, you will build on your earlier study of Regression and learn about other classifiers that you can use to better understand the data.

> There are useful low-code tools that can help you learn about working with classification models. Try [Azure ML for this task](https://docs.microsoft.com/learn/modules/create-classification-model-azure-machine-learning-designer/?WT.mc_id=academic-15963-cxa)

## Lessons

1. [Introduction to classification](1-Introduction/README.md)
2. [More classifiers](2-Classifiers-1/README.md)
3. [Yet other classifiers](3-Classifiers-2/README.md)
4. [Applied ML: build a web app](4-Applied/README.md)

## Credits

"Getting started with classification" was written with ♥️ by [Cassie Breviu](https://www.twitter.com/cassiebreviu) and [Jen Looper](https://www.twitter.com/jenlooper)

The delicious cuisines dataset was sourced from [Kaggle](https://www.kaggle.com/hoandan/asian-and-indian-cuisines).