- The Box Problem API A Spring Boot-based REST API project demonstrating custom validation handling for a dynamic item packing algorithm, showcasing integration with Bean Validation API and Docker for easy deployment.
- Spring Boot for the core application framework, facilitating REST API development.
- Jakarta Bean Validation for implementing custom validation logic.
- Docker for containerizing the application, ensuring consistent deployment environments.
- Maven for project management and build automation.
- JUnit for unit testing to ensure code reliability.
- Skills-assesment project for Neural Acadamy course A Jupyter notebook created as the final project for the Data Science and Machine Learning course at Neural Academy. Applied data analysis, data visualization, and supervised learning techniques to assess credit financial risk using a specific dataset.
- Libraries: NumPy, Pandas, Matplotlib, Sci-Kit Learn
- Machine Learning Models: K-Nearest Neighbors (KNN), Random Forest, XGBoost
- Evaluation of various scoring metrics for model performance assessment