Machine Learning I
Exercises and projects
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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.