Artificial intelligence and Machine Learning have revolutionized various aspects of our lives, from work to leisure activities. Whether it’s introducing innovations such as self-driving vehicles and personalized recommendation systems, or improving existing technologies like medical diagnosis and online search algorithms, the demand for expertise in AI and machine learning is growing rapidly. 

This Machine Learning with Python course will give you all the tools you need to get started or advance your knowledge on machine learning with Python.

The course has a strongly practical hands-on focus, and students will gain experience in applying machine learning on real data and interpreting the results. Through lectures and practicals, the students will learn the necessary skills to explore, design, implement, and understand their own machine learning applications. We will cover both fundamental and advanced concepts of machine learning such as data exploration and visualization, supervised and unsupervised models, evaluation, deep learning models and explainability.

Participants should have a basic knowledge of programming and a strong motivation of scripting and programming in Python.

Data Science specialisation
This course can be taken separately, but is also part of a series of 8 courses in the Summer School Data Science specialisation taught by UU’s department of Methodology & Statistics:

1. Data Science: Programming with Python (Course code S17, 7-11 July 2025)
2. Data Science: Network Science (Course code S37, 7-11 July 2025)
3. Data Science: Statistical Programming with R (Course code S24, 14-18 July 2025)
4. Data Science: Applied Text Mining (Course code S42, 14-18 July 2025)
5. Data Science: Machine Learning with Python (this course)
6. Data Science: Advanced Techniques for Handling Missing Data (Course code S28, 2026)
7. Data Science: Data Analysis (Course code S31, 2026)
8. Data Science: Text Mining with R (Course code S41,2026)