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In this blog post, I will give a detailed explanation on how to set up a color palette generator web app. I will cover the basics of setting up the flask app architecture, building the back-end with the k-means unsupervised learning algorithm in python, and the front end in html, css, and javascript. I will also cover connecting the front end with the back-end using jQuery library and deploying the final app to Heroku.

#heroku #flask #web-app-development #k-means

towardsdatascience.com

How to Build & Deploy an Unsupervised Learning Flask App from Scratch

In this post, I will give a detailed explanation on how to set up a color palette generator web app. I will cover the basics of setting up the flask app architecture, building the back-end with the k-means unsupervised learning algorithm in python, and the front end in html, css, and javascript. I will also cover connecting the front end with the back-end using jQuery library and deploying the final app to Heroku. How to Build & Deploy an Unsupervised Learning Flask App from Scratch. Learn to build a web app deployed on Heroku that uses k-means algorithm to pick out a color palette from an uploaded image.

3.35 GEEK