- Unsupervised Learning
- Machine Learning
- Computer Science
- Feature Engineering
- Risk Management
- Statistical Methods
- Predictive Modeling
- Applied Machine Learning
- Dimensionality Reduction
- Asset Management
- Regression Analysis
- Portfolio Management
Python and Machine Learning for Asset Management
Completed by Cyrille Quesson
October 24, 2019
16 hours (approximately)
Cyrille Quesson'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
