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Machine Learning Engineering (16 weeks)

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ML web app using Flask tutorial

Goal

4Geeks Coding Projects tutorials and exercises for people learning to code or improving their coding skills

Difficulty

beginner

Repository

Click to open

Video

Not available

Live demo

Not available

Average duration

2 hrs

Technologies

  • In this project we will create a machine learning web application. To do a beautiful one, you are free to choose the best model between all your previous projects, and apply your new Flask 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 this 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 flask app, make sure to commit your changes, push to your repository and go to 4Geeks.com to 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:

Use the .pkl file (model) from the project of your preference to build a machine learning web application. For example, if you are using the Titanic model, it should request certain passenger features and predict if that passenger would survive or not.

Step 3:

Deploy your app to Heroku!

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

Goal

4Geeks Coding Projects tutorials and exercises for people learning to code or improving their coding skills

Difficulty

beginner

Repository

Click to open

Video

Not available

Live demo

Not available

Average duration

2 hrs