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
37,409 already enrolled
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Gain insight into a topic and learn the fundamentals.
3.8
(679 reviews)
Intermediate level
Some related experience required
Flexible schedule
2 weeks at 10 hours a week
Learn at your own pace
82%
Most learners liked this course
Skills you'll gain
- Regression Analysis
- Machine Learning
- Machine Learning Algorithms
- FinTech
- Financial Modeling
- Artificial Neural Networks
- Artificial Intelligence and Machine Learning (AI/ML)
- Jupyter
- Scikit Learn (Machine Learning Library)
- Applied Machine Learning
- Reinforcement Learning
- Predictive Modeling
- Deep Learning
- Tensorflow
- Supervised Learning
Details to know
Shareable certificate
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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
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Instructor
Instructor ratings
3.9 (78 ratings)Offered by
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3.8
679 reviews
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Showing 3 of 679
HK
4
Reviewed on Jan 18, 2020
Great general overview of machine learning. I think the course can be re-organized to incorporate some of the theory and some coding tips as well, however.
KY
4
Reviewed on Apr 18, 2021
Great overview. Please provide more code examples as homework require a lot more than what the class covers!
KD
5
Reviewed on Aug 24, 2019
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.
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