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Different modeling techniques like multiple linear regression, decision tree, and random forest, etc. will be used for predicting the concrete compressive strength. A comparative analysis will be performed to identify the best model for our prediction in terms of accuracy. The best model will be helpful for civil engineers in choosing the appropriate concrete for bridges, houses construction.

Jupyter Notebook 99.31% Python 0.69%
correlation-matrix decision-trees error-prediction exploratory-data-analysis laso linear-regression modeling-approach polynomial-regression scatter-plot

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