# Getting started with classification ## Regional topic: Delicious Asian and Indian Cuisines 🍜 In Asia and India, food traditions are incredibly diverse and absolutely delicious! Let's explore data about regional cuisines to better understand their ingredients.  > Photo by Lisheng Chang on Unsplash ## What you will learn In this section, you will build on your previous study of Regression and explore other classifiers that can help you gain deeper insights into the data. > There are helpful low-code tools available to assist you in working with classification models. Check out [Azure ML for this task](https://docs.microsoft.com/learn/modules/create-classification-model-azure-machine-learning-designer/?WT.mc_id=academic-77952-leestott) ## 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 created with ♥️ by [Cassie Breviu](https://www.twitter.com/cassiebreviu) and [Jen Looper](https://www.twitter.com/jenlooper) The dataset on delicious cuisines was sourced from [Kaggle](https://www.kaggle.com/hoandan/asian-and-indian-cuisines). --- **Disclaimer**: This document has been translated using the AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). While we strive for accuracy, please note that automated translations may contain errors or inaccuracies. The original document in its native language should be regarded as the authoritative source. For critical information, professional human translation is recommended. We are not responsible for any misunderstandings or misinterpretations resulting from the use of this translation.