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1. Concrete_compressive_strength Concrete_compressive_strength Public

   Forked from Morcu/Concrete_compressive_strength

   ANN to predict the Concrete compressive strength in MPa (REGRESION)

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2. Concrete-Compressive-Strength Concrete-Compressive-Strength Public

   Forked from calistomeric/Concrete-Compressive-Strength

   Compressive Strength of Concrete can be predicted using three models: decision tree, SVC and GEP.

   Jupyter Notebook 1

3. ConcreteStrengthPrediction ConcreteStrengthPrediction Public

   Forked from mnokno/ConcreteStrengthPrediction

   Concrete strength prediction based on its composition and curing process using CatBoost, XGBoost and LGBM.

   Jupyter Notebook 1

4. Concrete Concrete Public

   Forked from dss-Diego/Concrete

   Concrete Strength Prediction with Extreme Gradient Boost (XGBoost)

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5. PORTFOLIO-Concrete-compressive-strength PORTFOLIO-Concrete-compressive-strength Public

   Forked from ArtemRamus/PORTFOLIO-Concrete-compressive-strength

   The goal of this project is to predict compressive strength of concrete from composition and age. Methods used: shuffle feature selection, cross validation and XGBoost Regression.

   Jupyter Notebook 1

6. ann_model_concrete_strength ann_model_concrete_strength Public

   Forked from ispatil09/ann_model_concrete_strength

   ANN Model for Predicting Compressive Strength of Alkali Activated Slag Concrete Cured at Environmental Temperature. Worked on data taken from this paper doi: 10.14704/nq.2022.20.6.NQ22044

   Jupyter Notebook 1