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Python and ML for Asset Management

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The course encompasses the fundamentals of supervised and unsupervised machine learning for financial data, as well as logistic regression, classification algorithms, investment management models, and practical implementation using Python.

Key AI Functions:Computer Science,Investment management knowledge,Expertise in data science,Programming skills,Managing your own personal invetsments

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Description for Python and ML for Asset Management

Acquire an understanding of the fundamentals of supervised and unsupervised machine learning techniques as they pertain to financial data sets.

Comprehend the fundamental principles of logistical regression and machine learning algorithms for the classification of variables into one of two possible outcomes.

Implement machine learning algorithms in case studies by leveraging robust Python libraries.

Discover the application of factor models and regime transition models in investment management.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 22

Offered by: On Coursera provided by EDHEC Business School

Duration: 16 hours (approximately)

Schedule: Flexible

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