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Geotechnical properties of soil using machine Learning techniques

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ABSTRACT

Application of Machine Learning techniques to estimate some geotechnical indices of Ekiti State Senatorial Districts Soils has been examined in this study. A trial pit 1-2 m deep was excavated and 480 samples of undisturbed soils was obtained for laboratory tests.

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