Introduction to Machine Learning (ML) with Python
Data culture is essential in the environment of digitalisation and digital transformation. Therefore, the data science environment provides a set of tools and techniques for gathering information from the data to help us in decision making. This course explores predictive (supervised) techniques in ML as tools to build predictive models from the information contained in databases. We will review the main classification algorithms and implement specific examples with Python to end up with an idea of the possibilities of this type of algorithms which are part of the field of artificial intelligence.
The course is taught by Dr. David Roche.
Prerequisites & admissions
Registration from 1 March to 30 May 2023. Admission by order of registration (40 places).