Python and Machine Learning for Asset Management

This course will teach you how to use machine-learning techniques to manage investment portfolios. John Mulvey, Princeton University's John Mulvey, and Lionel Martellini were the creators of this course, who are both thought leaders in their respective fields. They will help you make the best portfolio decisions and teach you data science fundamentals.

This course will start with an introduction to machine-learning. Next, we will discuss how these techniques can help with portfolio management decisions. This includes creating robust factor models, portfolios with greater diversification and more efficient implementation risk management models.

We have developed a 3-step learning process. First, we will present an investment problem. Then, we'll see how statistical techniques can be used to address this problem. Next, we will see how Machine Learning can be used to complete and improve analysis.

You will find videos and recommended readings to help improve your financial knowledge. To make sure you are fully understanding the concept, you can use the Jupiter notebooks or quizzes.

This course will show you how to use machine-learning in investment management.