Difference between revisions of "Machine Learning for Trading Course"
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| + | ==General course information== | ||
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This course is composed of three mini-courses: | This course is composed of three mini-courses: | ||
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* Part 3: [[Learning Algorithms for Trading]] | * Part 3: [[Learning Algorithms for Trading]] | ||
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*[[Name of course and course identifying information]] | *[[Name of course and course identifying information]] | ||
*[[Prerequisites/corequisites]] | *[[Prerequisites/corequisites]] | ||
Revision as of 14:36, 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
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
