Workshop – Supervised machine learning – Entry level

The goal of the workshop

The workshop aims to introduce students to the basic principles of supervised Machine Learning using the potential of the Python programming language and its scikit-learn library. A pipeline of a binary classification project will be analyzed in detail using logistic regression, starting from the preprocessing of data and arriving at the evaluation of the model’s performance.

How does the workshop take place?

The workshop takes place in a single 2-hour session via video call made using Zoom with the entire class of participants.  It can therefore be attended comfortably from home. The language will be English. The event will consist of a theory part shown on slides and of practical activities carried out by students in Python language using the CoCalc collaborative software development tool.

What is the maximum number of students?

The workshop is aimed at a maximum of 10 students.


  • Introduction of the teacher and the students
  • What is Supervised Machine Learning?
  • What is it for?
  • Training a model
  • Types of supervised models (regression, classification)
  • Logistic regression
  • Pipeline of a Machine Learning project
  • Introduction to CoCalc and Jupyter notebooks
  • Data cleaning
  • Encoding of categorical variables
  • Scaling
  • Unsupervised feature selection
  • Model training
  • Performance evaluation on test sample


Basic knowledge of the Python language is required, as the practical exercises will be carried out by writing code in this programming language.

The workshop calendar

The workshop will be held on 14 October 2020 from 19:30 to 21:30 (GMT+2)

The price

The price of the course is 60 € per person.

Certificate of attendance

At the end of the course, a certificate of attendance will be issued.

How to register

If you want to register and receive information on the payment of the registration fee and on how to participate or if you just want to receive more information, fill out the form below or send an e-mail to


14 Oct 2020


19:30 - 21:30

Local Time

  • Timezone: America/New_York
  • Date: 14 Oct 2020
  • Time: 13:30 - 15:30


60 €