This ’Quant Trading Using Machine Learning’ online training course takes a completely practical approach to applying Machine Learning techniques to Quant Trading. The focus is on practically applying ML techniques to develop sophisticated Quant Trading models. From setting up your own historical price database in MySQL, to writing hundreds of lines of Python code, the focus is on doing from the get-go. Supplemental Material included!
This course consists of the following modules:
- You, This Course & Us
- Developing Trading Strategies in Excel
- Setting up your Development Environment
- Setting up a Price Database
- Decision Trees, Ensemble Learning & Random Forests
- A Trading Strategy as Machine Learning Classification
- Feature Engineering
- Engineering a Complex Feature – A Categorical Variable with Past Trends
- Building a Machine Learning Classifier in Python
- Nearest Neighbors Classifier
- Gradient Boosted Trees
- Introduction to Quant Trading
From the day you purchase the course, you will have 12 months access to the online study platform. As the course is self-paced you can decide how fast or slow the training goes, and are able to complete the course in stages, revisiting the training at any time.
Method of Assessment:
At the end of each module, you will have one assignment to be submitted (you need a mark of 65% to pass) and you can submit the assignment at any time. You will only need to pay £19 for assessment and certification when you submit the assignment. You will receive the results within 72 hours of submittal, and will be sent a certificate in 7-14 days if you have successfully passed.
Successful candidates will be awarded a certificate for Machine Learning – Quant Trading.
Updated on 20 May, 2018
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