Machine/Deep Learning for Mining Quality Prediction-Enhanced

About this course

In this hands-on project, we will train machine learning and deep learning models to predict the % of Silica Concentrate in the Iron ore concentrate per minute. This project could be practically used in Mining Industry to get the % Silica Concentrate at much faster rate compared to the traditional methods.

What you will learn

• Train Artificial Neural Network models to perform regression tasks
• Understand the theory and intuition behind regression models and train them in Scikit Learn
• Understand the difference between various regression models KPIs such as MSE, RMSE, MAE, R2, adjusted R2