Use the data provided to create a model that can predict concrete compressive strength. The objective is to use feature engineering, model tuning, and hyper-parameter tuning techniques in order to achieve an accuracy of 85% to 95%.
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Objective: In order to select the best-performing model, build and compare a variety of regression models to predict the compressive strength of concrete based on a raw data set regarding materials commonly used in the construction industry.
twebb96/Concrete-Compressive-Strength-Prediction
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Objective: In order to select the best-performing model, build and compare a variety of regression models to predict the compressive strength of concrete based on a raw data set regarding materials commonly used in the construction industry.
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