[P] Thoughts on representing a Real world data

I'm working on a project whose input data comes from a device and for a single subject it takes data from 8 different sides. Each side reading contains 5 values of 2 types - a velocity and a distance. So, this constitutes, for a single object, 8X(5(velocity, distance)). These are all floating point values and varies in scale. The label is binary 1 or 0. I'll have 'n' such subjects in my dataset.

I'm trying to figure out what will …

data machinelearning real world data