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cement-strength-prediction

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Monish-Nallagondalla / Cement_strength_prediction

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The Cement Strength Prediction project uses machine learning to predict the compressive strength of cement based on its components, such as Cement, Fly Ash, Water, Superplasticizer, Coarse Aggregate, Fine Aggregate, and Age. The goal is to forecast compressive strength (MPa) for optimized cement production and quality control.

python data-science machine-learning scikit-learn data-visualization data-analysis data-preprocessing feature-engineering predictive-modeling regression-analysis construction-industry cement-strength-prediction
  • Updated Feb 2, 2025
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