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AI-Machine-Learning

Classical machine learning projects — supervised and unsupervised — each notebook is a self-contained problem: dataset, EDA, model, and evaluation.

Supervised

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

Unsupervised

Notebook Task
Unsupervised/Clustering.ipynb Customer personality analysis via clustering

Technologies

  • Python
  • Scikit-learn
  • Pandas
  • Matplotlib

License

MIT — see LICENSE.

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Classical machine learning projects: regression, classification, clustering and dimensionality reduction.

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