STATISTICAL & MACHINE LEARNING APPROACHES FOR MARKETING

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