| Using Federated Machine Learning To Detect Fraudulent Transactions |
This project uses Federated Machine Learning to detect fraudulent financial transactions while keeping data private across multiple institutions. It trains models on distributed datasets to improve accuracy, robustness, and security without sharing sensitive user data. |
GitHub |
| Advanced Web Solutions Assignment |
A modular Django-based CRM designed to manage members, events, messaging, documents, and community interaction within the Together Culture ecosystem. It provides a unified, extensible platform for collaboration, content management, and organizational engagement. |
GitHub |
| Comparing Machine Learning Models To Predict Natural Gas Index |
This project applies machine learning models to historical financial data to forecast the Natural Gas Index, transforming raw prices into structured time-series features. It compares CNN, MLP, and GRU architectures to evaluate their effectiveness in predicting market trends and price movements. |
GitHub |
| Machine Learning In Imaging |
This project demonstrates how classical and deep learning models can be applied to analyze, classify, and extract patterns from image data. It includes hands-on examples of neural networks, dimensionality reduction, transfer learning, and optimization techniques.
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GitHub |
| Building And Testing A Threat Detection Model |
This project investigates machine-learning-based network attack detection and the impact of training data poisoning on model performance. It also implements defensive strategies like data integrity verification and anomaly detection to protect models from adversarial manipulation. |
GitHub |
