In this link you can find all the material of Block 4 about feature selection.
Feature extraction
Block 2 will review most well-know feature extraction approaches. Here you can download the slides and the notebooks of this lesson.
First block: Classification
Dear students,
Here you have the material of the classification lessons: some slides with a review about classification methods and the notebooks to use in the lab. Click here to download.
Introduction to Python
The first notebooks to start to work with Python: notebooks
This material has been borrowed from the Machine Learning course (thanks to Jerónimo Arenas & Jesus Cid).
Additional material to learn more about Python:
http://www.learnpython.org/
http://www.python-course.eu/numpy.php
And some CodeAcademy, Edx & Coursera courses:
https://www.codecademy.com/learn/python
https://www.edx.org/course/learn-program-using-python-utarlingtonx-cse1309x#!
https://www.coursera.org/course/interactivepython1
https://www.coursera.org/course/interactivepython2
To work with notebooks:
http://opentechschool.github.io/python-data-intro/core/notebook.html
Some useful notebooks: https://wakari.io/gallery