Classical machine learning projects — supervised and unsupervised — each notebook is a self-contained problem: dataset, EDA, model, and evaluation.
| Notebook | Task |
|---|---|
Supervised/RegresiónLineal.ipynb |
Linear regression project |
Supervised/Regression.ipynb |
Regression: screen time vs. mental wellness |
Supervised/RegresiónLogística.ipynb |
Logistic regression: Alzheimer's disease prediction |
Supervised/Ensemble.ipynb |
Ensemble classification project |
Supervised/Airbnb/EDA_notebook.ipynb |
Exploratory data analysis on Airbnb pricing |
| Notebook | Task |
|---|---|
Unsupervised/Clustering.ipynb |
Customer personality analysis via clustering |
- Python
- Scikit-learn
- Pandas
- Matplotlib
MIT — see LICENSE.