Machine learning with Scikit-learn [online, IA101]

Do you want to predict trends and automate your analyses? Discover machine learning, an essential component of artificial intelligence. In this workshop, you'll explore the main methods for classification, prediction, and trend detection. Step by step, you'll also learn to create your own predictive models with scikit-learn, the go-to Python library in the field.

Prerequisites

• Good knowledge of statistics (functions and derivatives)
• Know the basics of Python programming or have completed the workshop “Introduction to programming with Python (PYT101)”
• Have good knowledge of data analysis and visualization with Python or have completed the “Data analysis with Python (DAT201)” and “Data visualization with Python (DAT203)” workshops
• Be comfortable with Python libraries like NumPy and MatplotLib

Agenda

• Motivation
• Introduction (en douceur) aux mathématiques de l'apprentissage machine
• Exercices et applications en pratique

Registration

• Academic: $10 (anyone who studies, teaches, or works at a university, CEGEP, CCTT, or university-affiliated research institute)
• NPO: $10 (anyone who works for a non-profit organization)
• Other: $250 (any other profile)

Instructor

Lucas Nogueira, analyst in advanced research computing at Calcul Québec.

Language

English

Technical prerequisites

We will use the Zoom platform. Because this event is a practical workshop, it is very useful having a secondary screen where you would get the instructor window on one screen and your own window on your main screen.

We will use the Jupyter Lab interface. Make sure you have a modern Web browser like Google Chrome, Firefox, Edge or Safari.

Notes

• A certificate of participation will be send to each participant who attends at least 60% of the workshop.
• The workshop is not recorded.
• The workshop could be canceled if the number of registrations is too low.

Contact

For any question, please write us to training@calculquebec.ca

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