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 '732df5ecce'
${ noResults }
ML-For-Beginners/4-Classification
History
Jasleen Sondhi a1d4b382e1
fixed hyperlinks- point to r html files now 		1 year ago
..
1-Introduction fixed hyperlinks- point to r html files now 1 year ago
2-Classifiers-1 Updated knit html of new .Rmd file 1 year ago
3-Classifiers-2 Added html file 1 year ago
4-Applied added links to the new quiz apps 2 years ago
data added lesson_10.html 1 year ago
images lesson details on regions 3 years ago
translations Update 2 years ago
README.md Update 2 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.