msb-public
/
ML-For-Beginners
mirror of https://github.com/microsoft/ML-For-Beginners.git
1
0
Code Issues Projects Releases Wiki Activity
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.
Branches Tags
${ item.name }
Create tag ${ searchTerm }
Create branch ${ searchTerm }
from '48590a589e'
${ noResults }
ML-For-Beginners/4-Classification
History
Jen Looper 1cc5b92395
Merge pull request #187 from loap-a/main 		3 years ago
..
1-Introduction Update README.zh-cn.md 3 years ago
2-Classifiers-1 table tidy-up 3 years ago
3-Classifiers-2 editorial tweaking 3 years ago
4-Applied changed to !pip 3 years ago
data renaming classification content as 'cuisines', not recipes 3 years ago
images lesson details on regions 3 years ago
translations Translated README files to all the topics to Russian 3 years ago
README.md Update README.md 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 the skills you learned in the first part of this curriculum all about regressionn to learn about other classifiers you can use that will help you learn about your 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