This repository contains the source code for an optimizer model that evaluates a user's team and recommends optimal decision making regarding transfers and chip usage
Feature scaling is an important factor in most ML pipelines, is it so necessary with the data that we have?
Does it make sense to scale variables such as conversion rate, SoT%, etc etc. They mainly are all in percentages anyways as we are not using totals but mainly percentages, however, there could be some on the defensive and goalkeeping side.
Feature scaling is an important factor in most ML pipelines, is it so necessary with the data that we have? Does it make sense to scale variables such as conversion rate, SoT%, etc etc. They mainly are all in percentages anyways as we are not using totals but mainly percentages, however, there could be some on the defensive and goalkeeping side.
Thoughts?