Python and Machine Learning for Asset Management
Completed by Phillip James Rowe
December 23, 2019
16 hours (approximately)
Phillip James Rowe'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: Unsupervised Learning
- Category: Machine Learning
- Category: Portfolio Risk
- Category: Model Evaluation
- Category: Financial Modeling
- Category: Applied Machine Learning
- Category: Supervised Learning
- Category: Computer Science
- Category: Regression Analysis
- Category: Market Data
- Category: Predictive Analytics
- Category: Portfolio Management
