Data Science: Machine Learning with Python

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.

Academics, researchers, professionals who want to know more and apply some of the most well known models in the field of Machine Learning

The aim of the course is to teach some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, tree-based methods, support vector machines, clustering, deep learning, and more