Python and Machine Learning for Asset Management
Completed by Jean-Philippe Sang
December 5, 2019
16 hours (approximately)
Jean-Philippe Sang'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
- Category: Machine Learning
- Category: Investment Management
- Category: Unsupervised Learning
- Category: Market Data
- Category: Analysis
- Category: Computer Science
- Category: Supervised Learning
- Category: Regression Analysis
- Category: Predictive Analytics
- Category: Investments
- Category: Feature Engineering
- Category: Portfolio Risk
