Iron ore Quality prediction Using Machine Learning

Abstract

The main goal of this project is to predict how much impurity is in the ore concentrate. The% of Silica is measured in a lab experiment it takes at least one hour for the process engineers to have this value. As this impurity is measured every hour, if we can predict how much silica (impurity) is in the ore concentrate, we can help the engineers, giving them early information to take actions (empowering!). Hence, they will be able to take corrective actions in advance (reduce impurity, if it is the case) and also help the environment (reducing the amount of ore that goes to tailings as you reduce silica in the ore concentrate).