This project implements Linear Regression and Logistic Regression algorithms from scratch using only NumPy and Pandas, without relying on built-in machine learning libraries. The implementations ...
Abstract: The logistics sector increasingly requires effective cost management and competitive pricing in a fluctuating market landscape. This paper examines the application of Linear Regression (LR) ...
Abstract: The least squares (LS) estimate is the archetypical solution of linear regression problems. The asymptotic Gaussianity of the scaled LS error is often used ...
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