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Get $1 credit for every $25 spent!
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Instructor
Lessons
64
Rating
(77)

Ending In:
Certification Included
access
lifetime
content
11 Hours
enrolled
765

Description

Financial markets are fickle beasts that can be extremely difficult to navigate for the average investor. This course will introduce you to machine learning, a field of study that gives computers the ability to learn without being explicitly programmed, while teaching you how to apply these techniques to quantitative trading. Using Python libraries, you'll discover how to build sophisticated financial models that will better inform your investing decisions. Ideally, this one will buy itself back and then some!

  • Access 64 lectures & 11 hours of content 24/7
  • Get a crash course in quantitative trading from stocks & indices to momentum investing & backtesting
  • Discover machine learning principles like decision trees, ensemble learning, random forests & more
  • Set up a historical price database in MySQL using Python
  • Learn Python libraries like Pandas, Scikit-Learn, XGBoost & Hyperopt
  • Access source code any time as a continuing resource

Instructor

Loonycorn is comprised of four individuals--Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh--who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students. For more details on the course and instructor, click here.

Important Details

  • Length of time users can access this course: lifetime access
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels, but working knowledge of Python would be helpful

Requirements

  • Internet required

Terms

  • Unredeemed licenses can be returned for store credit within 15 days of purchase. Once your license is redeemed, all sales are final.
access
lifetime
content
11 Hours
enrolled
765