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This video presents our Machine Learning project on Mining Process Prediction. The objective is to predict silica concentration using industrial sensor data. Models used: * Linear Regression * Random Forest * XGBoost (best performing model) The final model achieved an R² score of approximately 0.98. Live Demo: [PASTE YOUR STREAMLIT LINK ...
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