ma-shamshiri/Human-Activity-Recognition
This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.
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This project presents a Python-based spam detector program that utilizes the Naive Bayes approach to classify emails as either spam or ham. The system is designed to accurately and efficiently identify spam messages, providing a useful tool for individuals and organizations seeking to manage their email inboxes more effectively.
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This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.
In this project, the Pacman agent will find paths through his maze world, both to reach a particular location and to collect food efficiently. I implemented general search algorithms such as depth-first, breadth-first, uniform cost, and A* search algorithms which are used to solve navigation problems in the Pacman world.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
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Rapid spam filtering system.
Full-featured C2 framework which silently persists on webserver with a single-line PHP backdoor