Pinned Repositories
AI-Pacman-Projects
Explore foundational AI concepts through the Pac-Man projects, designed for UC Berkeley's CS 188 course. Implement search algorithms, multi-agent strategies, and reinforcement learning techniques in Python, emphasizing real-world applications. Engage in the Eutopia Pac-Man contest for a multiplayer capture-the-flag challenge
DRL-Generalization
Exploring Generalization in Deep Reinforcement Learning algorithms for different tasks using Gymnasium, Gymnasium-Robotics and MuJoCo
Drum-Sound-Classifier
This project explores the use of deep learning models, particularly CNNs, to classify drum sounds accurately.
FitFinder-Mobile-App
FitFinder Mobile App: A cutting-edge platform connecting fitness enthusiasts, offering a personalized workout partner search
InteractiveSystems
Deliveries
IRWA
Research in the field of Information Retrieval and Web Analytics (IRWA). The project involves the development of a search engine using Python 3, implementing various indexing and ranking algorithms.
Machine-Learning
This Machine Learning repository encompasses theory, hands-on labs, and two projects. Project 1 analyzes customer segmentation for marketing using clustering, while Project 2 applies supervised classification in marketing and sales.
Massive-Datasets-Mining
This GitHub course teaches essential Data Mining skills, including managing large datasets, interpreting relevant data, and applying flexible knowledge to gain expertise in statistic techniques, covering pre-processing, similarity metrics, basket analysis, association rules mining, recommender systems, and streaming data handling.
Salmonella-Attack
The paper explores Salmonella Attacks in Blockchain, emphasizing the importance of security measures like node authentication to prevent disruptions, while also providing insights into detection methods and countermeasures.
SLAM
SLAM is a sports-oriented Twitter simulation with a Model-View-Controller (MVC) architecture, catering to registered, anonymous, and administrator users, providing a reliable source of sports information and fostering community engagement, while emphasizing maintainability, scalability, and testability through clear separation of components.
ialexmp's Repositories
ialexmp/AI-Pacman-Projects
Explore foundational AI concepts through the Pac-Man projects, designed for UC Berkeley's CS 188 course. Implement search algorithms, multi-agent strategies, and reinforcement learning techniques in Python, emphasizing real-world applications. Engage in the Eutopia Pac-Man contest for a multiplayer capture-the-flag challenge
ialexmp/Salmonella-Attack
The paper explores Salmonella Attacks in Blockchain, emphasizing the importance of security measures like node authentication to prevent disruptions, while also providing insights into detection methods and countermeasures.
ialexmp/SLAM
SLAM is a sports-oriented Twitter simulation with a Model-View-Controller (MVC) architecture, catering to registered, anonymous, and administrator users, providing a reliable source of sports information and fostering community engagement, while emphasizing maintainability, scalability, and testability through clear separation of components.
ialexmp/DRL-Generalization
Exploring Generalization in Deep Reinforcement Learning algorithms for different tasks using Gymnasium, Gymnasium-Robotics and MuJoCo
ialexmp/Machine-Learning
This Machine Learning repository encompasses theory, hands-on labs, and two projects. Project 1 analyzes customer segmentation for marketing using clustering, while Project 2 applies supervised classification in marketing and sales.
ialexmp/FitFinder-Mobile-App
FitFinder Mobile App: A cutting-edge platform connecting fitness enthusiasts, offering a personalized workout partner search
ialexmp/IRWA
Research in the field of Information Retrieval and Web Analytics (IRWA). The project involves the development of a search engine using Python 3, implementing various indexing and ranking algorithms.
ialexmp/Massive-Datasets-Mining
This GitHub course teaches essential Data Mining skills, including managing large datasets, interpreting relevant data, and applying flexible knowledge to gain expertise in statistic techniques, covering pre-processing, similarity metrics, basket analysis, association rules mining, recommender systems, and streaming data handling.
ialexmp/Drum-Sound-Classifier
This project explores the use of deep learning models, particularly CNNs, to classify drum sounds accurately.
ialexmp/InteractiveSystems
Deliveries