Python and Machine Learning for Asset Management
Completed by Ronaldo Daniel Villanueva Contreras
July 21, 2024
16 hours (approximately)
Ronaldo Daniel Villanueva Contreras'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: Investments
- Category: Financial Modeling
- Category: Applied Machine Learning
- Category: Market Data
- Category: Portfolio Management
- Category: Machine Learning
- Category: Unsupervised Learning
- Category: Feature Engineering
- Category: Supervised Learning
- Category: Statistical Machine Learning
- Category: Predictive Analytics
- Category: Statistical Methods
