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Abstract: This research designs and develops a multi-objective prediction model, which addresses the complex predictive tasks of diversified hierarchical data structures through a series of models, ...

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Commonly used linear regression focuses only on the effect on the mean value of the dependent variable and may not be useful in situations where relationships across the distribution are of interest.

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from Scratch. We will not use any build in models, but we will understand the code ...

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ABSTRACT: This study investigates the impact of wage structure on employee satisfaction, motivation, and retention in Thailand’s textile manufacturing industry. Despite the recognized importance of ...

Excel portfolio project combining Fama–French 3-factor regressions with Markowitz optimization. Calculates expected returns, covariances, and solves for Minimum Variance & Tangency Portfolios.