Shubham-Bhoite/Machine-Learning-Project
Regression Model to Predict Cement Compressive Strength.
This project helps civil engineers and construction professionals predict the compressive strength of cement mixtures. By inputting various cement components and curing times, you can estimate the resulting strength, aiding in quality control and material selection for construction projects. This allows for informed decisions on cement mix designs.
No commits in the last 6 months.
Use this if you need a quick and reliable way to estimate cement compressive strength based on its ingredients and curing duration.
Not ideal if you require a comprehensive material simulation tool or need to predict other properties beyond compressive strength.
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Language
Jupyter Notebook
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Last pushed
Jun 02, 2024
Commits (30d)
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