Teaching Activities and Notebooks

ML For Beginners

  1. Prerequisites and introduction to ML
  2. Intermediate lectures on ML (coming soon!)
  3. Intermediate / Advanced techniques and application fields (coming soon!)

Introductory Python Course

One of the first activity we carried out was the delivery of an extra curricular teaching class about Python and Machine Learning. We delivered our classes in December 2019 – January 2020 at the Department of Physics of the University of Turin.

You can find the notebooks we used for our lessons here.

Dark Mode

Lectures (this link opens in a new window) by MachineLearningJournalClub (this link opens in a new window)

Lectures on Python

6 Subscribers 6 Watchers 0 Forks Check out this repository on GitHub.com (this link opens in a new window)

Project X Resources: how to tackle ML competitions

Before joining the Project X Competition (ww.projectx2020.com), we created a little online pre-course on how to tackle a Machine Learning Competition, to train our team. You can find the notebook here.

Dark Mode

HowToTackleAMLCompetition (this link opens in a new window) by MachineLearningJournalClub (this link opens in a new window)

Some tutorials for tackling a Machine Learning Competition

4 Subscribers 3 Watchers 0 Forks Check out this repository on GitHub.com (this link opens in a new window)