You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
ML-For-Beginners/4-Classification
Darío Hereñú 27d4c87082
Typo fixed (paragraph 14) (#446)
3 years ago
..
1-Introduction [WIP] Translate assignments and quizzes to Korean (#151) 3 years ago
2-Classifiers-1 small edit for clarity 3 years ago
3-Classifiers-2 add chapter 4-3 zh translation and tune some trans (#420) 3 years ago
4-Applied add chapter 4-4 zh-cn trans and tune code indent (#422) 3 years ago
data Create cleaned_cuisines_R.csv 3 years ago
images lesson details on regions 3 years ago
translations Typo fixed (paragraph 14) (#446) 3 years ago
README.md rephrasing a complicated sentence and updating Cassie's twitter handle in classification base README (#405) 3 years ago

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

Photo by Lisheng Chang on Unsplash

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

Lessons

  1. Introduction to classification
  2. More classifiers
  3. Yet other classifiers
  4. Applied ML: build a web app

Credits

"Getting started with classification" was written with ♥️ by Cassie Breviu and Jen Looper

The delicious cuisines dataset was sourced from Kaggle.