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Phishing-Attack-Detection-using-Machine-Learning
Advancing Cybersecurity with AI: This project fortifies phishing defense using cutting-edge models, trained on a diverse dataset of 737,000 URLs. It was the final project for the AI for Cybersecurity course in my Master's at uOttawa in 2023.Enhancing-Gutenberg-Book-Classification-using-Advanced-NLP-Techniques
The project aimed to classify Gutenberg texts accurately. Employing advanced NLP methodologies, it covered collection, preprocessing, feature engineering, and model evaluation for literary work classification. as part of the University of Ottawa's 2023 NLP course.User-Forest-Cover-Type-Prediction
Predicting Colorado forest cover types using diverse ML models for classification. Baseline creation, feature selection, comparison, and tuning optimize accuracy in this University of Ottawa Master's Machine Learning course final project (2023).Dynamic-DNS-Traffic-Analysis-for-Data-Exfiltration-Detection-with-Kafka
Crafting static and dynamic models for data exfiltration detection via DNS traffic analysis. Static model trained on batch data, while dynamic model simulates a continuous stream. Rigorous analysis, feature engineering, and model training conducted. Implementation part of AI for Cyber Security Master's assignment at the University of Ottawa, 2023.Credit-Card-Fraud-Detection
Focused on advancing credit card fraud detection, this project employs machine learning algorithms, including neural networks and decision trees, to enhance fraud prevention in the banking sector. It serves as the final project for a Data Science course at the University of Ottawa in 2023.Video-Deepfake-Detection-Masters-Graduation-Project
Undertook a comprehensive exploration of fake and real video datasets, employing advanced techniques in face detection, data preprocessing, and the creation of structured training, validation, and testing sets..This project holds significance as it served as the culmination of my Master's degree in Ottawa in 2023.Single-Object-Tracking-with-Yolov8
In computer vision, this project meticulously constructs a dataset for precise 'Shoe' tracking using YOLOv8 models. Emphasizing detailed data organization, advanced training, and nuanced evaluation, it provides comprehensive insights. A final project for the Computer Vision cousre on Ottawa Master's in (2023).Love Open Source and this site? Check out how you can help us