Abstract: This work provides a hybrid model for gender identification integrating face features with logistic regression with K-Nearest Neighbors. The model reached an amazing accuracy of 96% with a ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Abstract: The logistic regression model is a linear model widely used for two-category classification problems. This report examines the enhancement and improvement methods of logistic regression ...
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Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from ...
An intelligent trading agent that makes discrete trading decisions (Long/Short/NoTrade) on Bitcoin using supervised learning. Features include realistic Take Profit (TP) and Stop Loss (SL) management, ...
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