Formation/Cours

At the end of the course, the student should be able to:
– understand and implement data preprocessing methods
– understand the functioning of statistical and machine learning approaches for classification and regression
– get hands on on evaluation frameworks for classification and regression

These competencies and/or skills contribute to the following learning objectives
– 3.B Propose creative solutions within an organization
– 5.A. Predict how business and economic cycles could affect organizational strategy
– 5.C Employ state-of-the-art management techniques
– 7.B Formulate strategically-appropriate solutions to complex and unfamiliar challenges in their professional field
– 7.C Effectively apply in-depth specialized knowledge to take advantage of contemporary opportunities in their professional field
– 7.D Be a reference point for expertise-related questions and ambiguities

This course has the intention to deepen the knowledge of the participants in the field of statistical and machine learning approaches with applications in marketing. The course details various data preprocessing, classification algorithms and evaluation frameworks