FM5323: Data Science and Machine Learning in Finance

3 Credits

This course introduces the basic principles underlying Data Science and Machine Learning, focusing on their applications in finance. Topics include: understanding data, EDA, various types of Machine Learning problems (e.g. classification, regression, recommendation, etc.), various algorithmic approaches (GLMs, Trees, Neural Networks, etc.), model selection, limitations of ML models, and issues in their implementations.

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All Instructors

A- Average (3.523)Most Common: A (49%)

This total also includes data from semesters with unknown instructors.

51 students
FDCBA
  • 4.20

    /5

    Recommend
  • 4.47

    /5

    Effort
  • 4.47

    /5

    Understanding
  • 4.33

    /5

    Interesting
  • 4.74

    /5

    Activities


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