A journey through applied computing - documenting my master's degree adventure
Welcome to my academic journey! This repository serves as a living portfolio of my work in the Master's in Applied Computing program.
Here you'll find a diverse collection of:
- 🧪 Practical experiments
- 📝 Class notes and summaries
- 🖥️ Code implementations
- 📊 Data analysis projects
- 🎯 Course assignments and solutions
The content evolves as I progress through my studies, providing a comprehensive view of applied computing concepts in action!
- Jupyter Notebook: 67.8% - Primary platform for data analysis and experimentation
- HTML: 30.6% - Web interface development and visualization
- CSS: 1.0% - Styling for web components
- JavaScript: 0.4% - Interactive elements and client-side functionality
- Jinja: 0.1% - Template engine for Python web applications
- Python: 0.1% - Core programming (outside notebooks)
| 📓 Notebooks | 💻 Code Samples | 📝 Documentation |
|---|---|---|
| Comprehensive Jupyter notebooks with detailed explanations, visualizations and executable code | Reusable scripts and modules in Python, JavaScript, and other languages | Class notes, research findings, and analysis reports in Markdown format |
Note: All content is organized by course and topic for easy navigation and reference.
Explore various data analysis techniques including statistical analysis, data visualization, and machine learning applications.
Front-end and back-end development projects showcasing HTML, CSS, JavaScript, and Python integration.
Custom implementations of various algorithms with explanations and performance analysis.
Academic research, literature reviews, and experimental findings on specialized computing topics.
The repository will continue to grow throughout my master's program. Upcoming additions include:
- Advanced machine learning implementations
- Cloud computing projects
- Data visualization dashboards
- Research paper materials and implementations
- Collaborative cross-discipline projects
💡 Check back regularly for new content as I progress through my courses!
Have questions, suggestions, or interested in collaborating? I'd love to hear from you!
Happy exploring and coding! 💻✨