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.
This course is part of the Investment Management with Python and Machine Learning Specialization
Offered By


About this Course
What you will learn
Learn the principles of supervised and unsupervised machine learning techniques to financial data sets
Understand the basis of logistical regression and ML algorithms for classifying variables into one of two outcomes
Utilize powerful Python libraries to implement machine learning algorithms in case studies
Learn about factor models and regime switching models and their use in investment management
Skills you will gain
- Programming skills
- Managing your own personal invetsments
- Investment management knowledge
- Computer Science
- Expertise in data science
Offered by
Syllabus - What you will learn from this course
Introducing the fundamentals of machine learning
Machine learning techniques for robust estimation of factor models
Machine learning techniques for efficient portfolio diversification
Machine learning techniques for regime analysis
Reviews
- 5 stars23.60%
- 4 stars15.73%
- 3 stars24.91%
- 2 stars18.68%
- 1 star17.04%
TOP REVIEWS FROM PYTHON AND MACHINE LEARNING FOR ASSET MANAGEMENT
Please consider adding additional videos for the lab sessions, as one can not gain the Machine Learning python coding skills from PPT slides!
Good overview on Machine Learning techniques, need for some basic knowledge in statistics and Python for an optimized experience.
The ideas did not explain clearly and explicitly. They want to cover many topics but all in general so that you do not understand deeply what is going on.
Good concepts to touch but lack on coding in granulality example. But overall, I'm get a good example how to implement machine learning technique to finance perspective.
About the Investment Management with Python and Machine Learning Specialization

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