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.
Guided Tour of Machine Learning in Finance
Guided Tour of Machine Learning in Finance
This course is part of Machine Learning and Reinforcement Learning in Finance Specialization
Instructor: Igor Halperin
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Gain insight into a topic and learn the fundamentals.
3.8
(673 reviews)
Intermediate level
Some related experience required
Flexible schedule
Approx. 24 hours
Learn at your own pace
83%
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Assessments
4 assignments
Taught in English
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This course is part of the Machine Learning and Reinforcement Learning in Finance Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
What's included
11 videos3 readings1 assignment
What's included
6 videos3 readings1 assignment1 programming assignment1 ungraded lab
What's included
7 videos4 readings1 assignment1 programming assignment1 ungraded lab
What's included
9 videos4 readings1 assignment2 programming assignments2 ungraded labs
Instructor
Instructor ratings
4.0 (77 ratings)Offered by
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Learner reviews
3.8
673 reviews
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10.25%
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Showing 3 of 673
MJ
4
Reviewed on Nov 16, 2019
The coding part could have been better explained and the reasoning for what is being done should be included in the coding videos.
CO
4
Reviewed on Apr 18, 2019
Very Difficult - Impossible to succeed without very strong prior experience. Would deserve more guidelines
KY
4
Reviewed on Apr 17, 2021
Great overview. Please provide more code examples as homework require a lot more than what the class covers!
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