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ML-Concrete

This repository contains the Machine Learning algorithms employed to improve the numerical methods for the steel yield strain calculation in reinforced concrete members. Some Jupyter Notebooks are added for the sake of clarity and simplicity.

It is recomended to use main.ipynb for self tries. It needs .xlsx files like kernel_shuffled.xlsx or bound_shuffled.xlsx with data separated by classes. Also, data_k and data_b can be provided as pandas DataFrames, or be readed from other files.

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