This repository documents my learning path and applied projects in data analysis, SQL, statistics, and machine learning.
The portfolio focuses on practical data science skills with applications related to building energy analysis, smart buildings, and digital twins.
- Python for Everybody, University of Michigan
- Data Analysis with Python, freeCodeCamp
- SQL for Data Science, UC Davis
- Statistics with Python, University of Michigan
- Machine Learning Specialization, DeepLearning.AI / Stanford
| No. | Project | Status |
|---|---|---|
| 01 | Energy Data Analysis with Python | Planned |
| 02 | SQL Building Sensor Analysis | Planned |
| 03 | Statistics for Energy and Comfort | Planned |
| 04 | Machine Learning Energy Prediction | Planned |
| 05 | Energy Anomaly Detection | Planned |
- Python
- pandas
- NumPy
- Matplotlib
- SQL
- SQLite
- scikit-learn
- Jupyter Notebook
- Git and GitHub
data-science-ml-portfolio/
├── 01_energy_data_analysis_python/
├── 02_sql_building_sensor_analysis/
├── 03_statistics_energy_comfort/
├── 04_ml_energy_prediction/
├── 05_energy_anomaly_detection/
├── certificates/
├── datasets/
└── README.md