Problem Statement

In this case study, we predict how much impurity is in the ore concentre for Silica and Iron to help engineers by giving them early information to take actions and take collective steps to reduce impurity of ore concentrate

Approach

Data consists of Floating Airflows from level 0 to 7 The ore concentration and Amina flow. The Froth floating process is used to extract the Si and Fe of the concentration of mines. All Regression models are tested to get the best RMSE for the ore concentration.

Conclusion

Regression models have provided the optimal results. The model is able to predict the ore concentrate of Silica and Iron and help them reduce the impurity of minerals