AxelSeanCP/Concrete-Strength-Prediction
Predictive Analytics for Concrete Compressive Strength - A project from Dicoding's Machine Learning Expert Class, focused on predicting the compressive strength of concrete using machine learning algorithms.
This tool helps construction managers and civil engineers predict the compressive strength of concrete based on its mix ingredients. You input the amounts of cement, slag, fly ash, water, superplasticizer, coarse and fine aggregates, and the concrete's age. The system then outputs the expected concrete compressive strength, allowing for better material quality assessment and cost efficiency.
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Use this if you need to quickly estimate the quality and safety of on-site mixed concrete by understanding its potential compressive strength before it's used in construction.
Not ideal if you require precise, real-time measurements from physical testing equipment or need to analyze factors beyond the concrete mix composition.
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Last pushed
Feb 25, 2024
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