# 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. 

## Lessons

1. [Build a Web App](3-Web-App/README.md)

## Credits

"Build a Web App" was written with ♥️ by [Jen Looper](https://twitter.com/jenlooper). 

♥️ The quizzes were written by Rohan Raj.

The dataset is sourced from [Kaggle](https://www.kaggle.com/NUFORC/ufo-sightings). 

The web app architecture was suggested in part by [this article](https://towardsdatascience.com/how-to-easily-deploy-machine-learning-models-using-flask-b95af8fe34d4) and [this repo](https://github.com/abhinavsagar/machine-learning-deployment) by Abhinav Sagar.