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EP 1. First assignment: Python programming for feature extraction (PDF)

Simple introductory assignment for practising some Python programming in the context of feature extraction.


EP 2. First assignment: Python notebook for the assignment (ipynb) (DOC)

Now the student must complete this Jupyter notebook.


EP 3. First assignment: Datasets for the assignment (ZIP)

The two datasets required for this assignment.


EP 10. Second assignment, part I: Notebook for the first part of the second assignment (ipynb) (DOC).

The students must follow through this notebook, which is self-explanatory.


EP 11. Second assignment, part II: explanation for part II (PDF)

The second part of the second assignment classifies digits using machine learning techniques in Python.


EP 12. Second assignment, part II: SEMEION dataset (npy)

It contains the SEMEION dataset in npy binary format.


EP 30. Third assignment: programming with SPARK (PDF)

Third assignment: programming with Spark MLib.


EP 31. Third assignment: Python notebook (ipynb) (DOC)

Third assignment: programming with Spark MLib.


EP 32. Third assignment: a guide to the solution (PDF)

Third assignment: programming with Spark MLib.

Última modificación: martes, 19 de abril de 2022, 13:39