2025-08-18 –, Room 1.19 (Ground Floor)
Scikit-learn is a free and open-source machine learning library for Python. It provides multiple machine learning algorithms as well as various tools for model fitting, data preprocessing, model selection, model evaluation, and many other utilities.
In this beginner tutorial, you will learn the basics of machine learning development with scikit-learn - from creating a machine learning model to validating it using available tools.
This beginner tutorial will include:
1. Brief introduction to machine learning
2. Why Python?
3. Where to get the data?
4. Introduction to scikit-learn - basic machine learning algorithms
5. Hands-on tutorial on how to create your own machine learning model
6. Instructions on how and why to validate your machine learning model
7. Where, when, and why use machine learning?
All the code will be provided to you in a GitHub repository. There will also be time prepared for additional questions regarding the topic.
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Expected audience expertise: Python:some
Supporting material: Supporting material Your relationship with the presented work/project: No responseMagister of engineering in Computer Science, currently research assistant at University of Szczecin, Institute of Management.