Georgia Tech OMSCS Machine Learning for Trading Review | CS 7646
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- Опубликовано: 24 июл 2024
- Full article here: coolstercodes.com/georgia-tec...
0:00 What is Machine Learning for Trading?
0:56 Course overview
1:06 Project 1: Martingale
1:36 Project 2: Optimize Something
2:21 Project 3: Assess Learners
3:21 Project 4: Defeat Learners
3:57 Project 5: Marketsim
4:37 Project 6: Indicator Evaluation
5:19 Project 7: Q-Learning
6:10 Project 8: Strategy Evaluation
6:57 Extra-Credit
7:05 Exams
7:15 Closing statements
I agree with Paul's assessment. Don't expect to come out of this course with the ability to make money in the market. However, it is a great course to improve your Python skills, and not as difficult as some other OMSCS programming courses. I recommend this course early in the program to ensure Python proficiency and then try to tack some of the more difficult courses such as AI and RL.
Great overview and valuable perspective, Paul! Thanks for sharing these insights.
Thanks Mark, you’re the man!!
Great video, thanks for sharing! I'm considering taking this course next semester. I have no machine learning experience other than the ML on Clamp project in IIS. 😄
You’ll do great, it’s honestly a good class to experiment with, not even necessary to be an expert yet!
Hey Paul, I took SDP with you last semester and again came to your guides before picking classes. Everything in this video is pretty accurate to my experience in ML4T so far. They made a recent change where exams are 22 multi-choice questions with one hour to do.
Thanks for the update!!
hey rather than pandas, can you use polars? Thanks. I personally hate pandas
What happened on project 6 to warrant a 65%
Seems like my charts were wrong (according to the TA feedback)
How did you study for exams?
Maybe about 3 hours each
Can i enroll free and after complete this course can i got university licence certificate
The lecture videos are free, but to enroll you must first apply to the program, be accepted and then pay tuition to take this course to receive credit
@@coolstercodes Hi, I checked at Udacity. It requires an enrolment fee. Is the lecture videos available in online?