- Machine Learning
- Financial Market
- Unsupervised Learning
- Regression Analysis
- Applied Machine Learning
- Portfolio Risk
- Computer Science
- Investment Management
- Supervised Learning
- Financial Modeling
- Jupyter
- Dimensionality Reduction
Python and Machine Learning for Asset Management
Completed by Nathalia Andrea Lesmes Cipagauta
January 30, 2021
16 hours (approximately)
Nathalia Andrea Lesmes Cipagauta'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
