The most common preprocessing task is to transform and/or normalize data into a representation that can be used by your algorithm. For instance, you may receive JSON objects from an API endpoint that you need to transform into vectors used by your algorithm. Consider the following JSON data:
const users = [ { "name": "Andrew", "followers": 27304, "posts": 34, "images": 38, "engagements": 2343, "is_verified": false }, { "name": "Bailey", "followers": 32102, "posts": 54, "images": 102, "engagements": 9488, "is_verified": true }, { "name": "Caroline", "followers": 19932, "posts": 12, "images": 0, "engagements": 19, "is_verified": false }];
Your neural network that processes the data expects input data in vector ...
