- Regression Analysis
- Predictive Modeling
- Risk Management
- Machine Learning
- Feature Engineering
- Dimensionality Reduction
- Investment Management
- Asset Management
- Unsupervised Learning
- Applied Machine Learning
- Statistical Methods
- Computer Science
Python and Machine Learning for Asset Management
Completed by Sezer Ercan
September 18, 2020
16 hours (approximately)
Sezer Ercan'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
