Difference between revisions of "Machine Learning for Trading Course"
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==Prerequisites/Co-requisites== | ==Prerequisites/Co-requisites== | ||
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==Instructor information== | ==Instructor information== | ||
Revision as of 14:37, 13 February 2015
Contents
General course information
This course is composed of three mini-courses:
- Part 1: Manipulating Timeseries Data in Python
- Part 2: Computational Investing
- Part 3: Learning Algorithms for Trading
Prerequisites/Co-requisites
Textbooks
Instructor information
Purpose of the course
The learning environment
Time schedule/course plan
- Schedule/course plan
- Assignments and Projects
- Grading''include late submission policy''
- Extra Credit
Announcements
- Piazzalink to piazza
