Python and Machine Learning for Asset Management

This course will enable you mastering machine-learning approaches in the area of investment management. It has been designed by two thought leaders in their field, Lionel Martellini from EDHEC-Risk Institute and John Mulvey from Princeton University. Starting from the basics, they will help you build practical skills to understand data science so you can make the best portfolio decisions. The course will start with an introduction to the fundamentals of machine learning, followed by an in-depth

• Learn supervised and unsupervised machine learning techniques on financial datasets
• Understand logistic regression and binary classification algorithms
• Utilize Python libraries to implement machine learning algorithms in case studies
• Learn factor models and regime switching models for investment management

• Basic Python programming skills
• Fundamentals of statistics and mathematics