This is the third and final part of a three-part series. I suggest you read parts 1 and 2 first for better understanding.

In the first part of the series, we got introduced to danfo.js, a new JavaScript package that provides fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and intuitive.

What you will learn in part 3

• Converting an observable notebook to a script for the browser
• Train and perform inference in the browser

Converting observable notebook to script

In Pythonic data science end-to-end projects, notebooks are converted into scripts during deployment or package building. We can do exactly the same thing in JavaScript.

To keep things simple, we’ll be using a single HTML index file to run all the code snippets. We can use any browser console that can be found in the developer tools to debug output.

#machine-learning #tensorflowjs #heartbeat #tensorflow #javascript