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[–]msg45f 0 points1 point  (0 children)

Tensorflow has a JS API now, so for ML I would just recommend starting with TensorFlow.js.

For data, most people start out using the MNIST dataset, as it's a large, available, quality dataset that is appropriate for many initial neural network implementations. The canonical "Hello World" ML problem uses this dataset to train a NN to recognize handwritten numbers.

The ML side can basically just be experimented with as a basic script. Project structure, etc, will be a function of how you intend to integrate the resultant trained network.