This course aims at providing an introductory and broad overview of the field of ML with the focus on applications on Finance. Supervised Machine Learning methods are used in the capstone project to predict bank closures. Simultaneously, while this course can be taken as a separate course, it serves as a preview of topics that are covered in more details in subsequent modules of the specialization Machine Learning and Reinforcement Learning in Finance.
About this Course
- 5 stars41.87%
- 4 stars23.90%
- 3 stars13.43%
- 2 stars10.78%
- 1 star10%
TOP REVIEWS FROM GUIDED TOUR OF MACHINE LEARNING IN FINANCE
Introduction of ML for Financial application with combination of Scikit learn, Statsmodels and Tensorflow with neuralnets made this class very interesting. Learned and Enjoyed lot.
The Lectures and given readings are very useful and it is required to read them to complete the assignments which will otherwise be difficult
This will be a 5 star course when all of the technical issues are resolved. More timely feedback from the staff is desirable as well.
Homework is not always consistent with what's covered in class. The recommended readings are very helpful.
About the Machine Learning and Reinforcement Learning in Finance Specialization
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