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 'f16880941b'
${ noResults }
ML-For-Beginners/3-Web-App
History
Jen Looper 6ea8a8491d
Merge pull request #220 from robertopauletto/main 		3 years ago
..
1-Web-App Merge pull request #220 from robertopauletto/main 3 years ago
images UFO image 3 years ago
translations Italian Translation - Chapter 3 complete 3 years ago
README.md UFO image 3 years ago

README.md

Build a web app to use your ML model

In this section of the curriculum, you will be introduced to an applied ML topic: how to save your Scikit-learn model as a file that can be used to make predictions within a web application. Once the model is saved, you'll learn how to use it in a web app built in Flask. You'll first create a model using some data that's all about UFO sightings! Then, you'll build a web app that will allow you to input a number of seconds with a latitude and a longitude value to predict which country reported seeing a UFO.

UFO Parking

Photo by Michael Herren on Unsplash

Lessons

  1. Build a Web App

Credits

"Build a Web App" was written with ♥️ by Jen Looper.

♥️ The quizzes were written by Rohan Raj.

The dataset is sourced from Kaggle.

The web app architecture was suggested in part by this article and this repo by Abhinav Sagar.