End-to-End Machine Learning in JavaScript Using Danfo.js and TensorFlow.js (part 2)

This is the second part of a three-part series. In the first part of the series, we were 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 easier and more intuitive. In part 1, we analyzed our data to spot trends that can be very useful for feature engineering, model building, and interpretation. If we check the dataset, we can see that the features have all been converted into numerical features, and there's little or no need for feature engineering without a base model. Therefore, we can start with the normalization of the dataset.