Abstract: Managing attendance in educational institutions is often a time-consuming and error-prone task, with traditional methods like roll calls or sign-in sheets being inefficient and susceptible ...
Abstract: The k-nearest neighbor (kNN) algorithm is a classic supervised machine learning algorithm. It is widely used in cyber-physical-social systems (CPSS) to analyze and mine data. However, in ...
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About A beginner-friendly machine learning project for predicting heart attack risk using multiple classification algorithms. Built as part of my learning journey in ML, exploring Logistic Regression, ...
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