npatel221/Quality_Prediction_ML
Predict the % of silica present in the iron core concentration given the manufacturing data of a flotation plant
This project helps mining engineers and plant operators predict the percentage of silica impurity in iron ore concentrate. By inputting real-time manufacturing data from flotation plant sensors, it outputs an hourly prediction of silica content. This allows for proactive adjustments to the process, improving product quality and reducing waste.
No commits in the last 6 months.
Use this if you are a mining engineer or plant operator who needs early warnings about silica impurity levels to optimize your iron ore flotation process.
Not ideal if you need to predict different types of ore impurities or are not working with data from a flotation plant.
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Jupyter Notebook
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Last pushed
Sep 16, 2023
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