- Machine Learning
- Regression Analysis
- Portfolio Risk
- Portfolio Management
- Unsupervised Learning
- Predictive Analytics
- Financial Market
- Statistical Methods
- Computer Science
- Jupyter
- Investment Management
- Asset Management
Python and Machine Learning for Asset Management
Completed by Emil Ås
June 26, 2021
16 hours (approximately)
Emil Ås's account is verified. Coursera certifies their successful completion of Python and Machine Learning for Asset Management
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
