ML web app using Streamlit tutorial

• In this project, we will create a machine learning web application. Again, you are free to choose the model you prefer from our previous projects. This time you will use python scripts with your new Streamlit skills!

Don't forget to always be resourceful!

🌱 How to start this project

You will not be forking this time, please take some time to read these instructions:

1. Create a new repository based on machine learning project by clicking here.
2. Open the recently created repository on Gitpod by using the Gitpod button extension.
3. Once Gitpod VSCode has finished opening you start your project following the Instructions below.

🚛 How to deliver this project

Once you are finished deploying your streamlit app, make sure to commit your changes, push to your repository and go to 4Geeks.com to deliver and upload the web application link.

📝 Instructions

Step 1:

Now that you have learned what your final structure should look like, add the necessary files to the current project folder in order to have the correct structure, and edit the necessary ones.

Step 2:

Again, use the .pkl file (model) from your preferred project and build your machine learning web application. This time show your Streamlit new skills to make a beautiful web app.

Step 3:

Deploy your app to Heroku!

Use your Deploy model using Streamlit and Heroku lesson to guide you on every step.