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 ...
The project demonstrates how different algorithms solve maze pathfinding problems, including: • BFS (Breadth First Search) • DFS (Depth First Search) • Greedy Search Algorithm Through this project, I ...
Many ML algorithms (like KNN, SVM, Neural Networks) are sensitive to feature magnitudes. If one feature is much larger than others, it can dominate the learning process. Scaling ensures all features ...
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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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