Python and Machine Learning for Asset Management
Completed by Taiyr Zhanuzak
December 20, 2024
16 hours (approximately)
Taiyr Zhanuzak'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: Asset Management
- Category: Feature Engineering
- Category: Applied Machine Learning
- Category: Investments
- Category: Unsupervised Learning
- Category: Financial Modeling
- Category: Risk Analysis
- Category: Statistical Methods
- Category: Estimation
- Category: Portfolio Risk
- Category: Market Data
- Category: Supervised Learning
