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.
Python and Machine Learning for Asset Management
This course is part of Investment Management with Python and Machine Learning Specialization
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(322 reviews)
What you'll 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'll gain
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There are 5 modules in this course
What's included
9 videos5 readings1 quiz1 discussion prompt1 ungraded lab
What's included
8 videos1 reading1 quiz
What's included
8 videos3 readings1 quiz1 discussion prompt
What's included
7 videos4 readings1 quiz
What's included
7 videos2 readings1 quiz
Instructors
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Recommended if you're interested in Finance
EDHEC Business School
EDHEC Business School
EDHEC Business School
New York University
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