- Investment Management
- Computer Science
- Financial Market
- Portfolio Risk
- Financial Modeling
- Jupyter
- Predictive Analytics
- Statistical Methods
- Supervised Learning
- Asset Management
- Dimensionality Reduction
- Applied Machine Learning
Python and Machine Learning for Asset Management
Completed by Cyril Reibel
April 10, 2020
16 hours (approximately)
Cyril Reibel'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
