J-DHARANEESH/Pore-Pressure-Proxy-Modelling

This project demonstrates the use of machine learning models to estimate a pore pressure proxy using geological well log data. Based on the Well Log Facies Dataset, the project simulates pore pressure from petrophysical features like GR, ILD_log10, PE, DeltaPHI, PHIND, NM_M, and RELPOS. Multiple regression models—including Linear Regression, Ridge

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huseyincenik/auto_analytics_advanced_estimation_and_deployment

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Wamae/HousingSalesPrediction

Housing sale price prediction using linear regression, Ridge, KNN, Catboost and XGBoost

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PermanAtayev/Movie-revenue-prediction

Model that uses 10 different algorithms to predict the revenue of a movie before it's release

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