Welcome to my personal Data Science portfolio!
This repository showcases a variety of Data Science projects, including Machine Learning models, data analysis, and visualizations, with a core focus on solving real-world problems.
Feel free to explore and learn from the projects listed below!
- KNMI Weather Data: Leveraging KNMI datasets for data analysis, visualization and a drought assessment.
Within this portfolio a range of tools and technologies are used to showcase the breadth of my Data Science skills.
These include:
- Python (among which: Pandas, NumPy, scikit-learn)
- Jupyter Notebooks for interactive data analysis and model training.
- Matplotlib for customized data visualizations.
- GeoPandas for geodata (GIS) operations.
- TensorFlow or PyTorch for Deep Learning projects (if applicable).
- SQL for database management and querying (if applicable).
- Git and GitHub for version control and collaboration.
To run any of the projects in this repository, you will need to have Python installed along with the necessary dependencies.
Check the project subfolder of your interest for the exact specifications and detailed instructions on how to start.
The following licenses apply to all code and content within this Data Science Portfolio, unless explicitly mentioned otherwise in a respective (sub)folder.
- Code: Licensed under Apache 2.0
- Content (e.g.: explanations, text and plots): Licensed under CC BY-SA 4.0
Feel free to reach out to me for any questions or potential collaborations:
- 📧 Email: t.t.h.rooijakkers@gmail.com
- 🎯 LinkedIn: linkedin.com/in/tom-rooijakkers/
GitHub: @tomrooijakkers