Machine Learning – Quant Trading Este curso é ministrado em inglês

Course details

Overview
 
During this excellent Machine Learning – Quant Trading learners will focus on practically applying ML techniques to develop sophisticated Quant Trading models. This Quant Trading course will give you an introduction to machine learning, a subject which gives computers the ability to learn without being programmed. For those interested in Quant Trading, this course teaches you to apply machine learning to Quant Trading. Discover how to build sophisticated financial models that will better inform your investing decisions.

This Machine Learning – Quant Trading Course will be the ideal solution and the easiest course you will experience. We will offer you the opportunity to study 24/7 wherever you are in the world. This course is opened to anyone with an interest in the topic and give you access to world-class learning led by 1Training International.

1Training International works in partnership with NUS, so all registered 1Training learners can get an NUS Extra discount card, which gives you amazing discounts on thousands of products from the biggest companies.

Why should I choose 1Training?

• Free both e-certificate and printed certificate
• Accredited qualification
• Excellent quality video tutorials
• You'll be eligible for an NUS Discount Card
• Get one year's access to the course
• Get support by phone, live chat, and email
• Join our friendly online learning platform
• Our Course is fully compatible with PC’s, Mac’s, Laptop, Tablet and Smartphone devices. So, you can access your course on Wi-Fi, 3G or 4G.

Description

Learn for less with 1Training discount courses online! You’ll love 1Training’s excellent quality, competitive prices, and first class learner support. With this excellent discount course you can expect professional qualification, which will enable you to enhance your CV in no time, and for less!

What skills am I going to get from this course?

• Develop Quant Trading models using advanced Machine Learning techniques
• Compare and evaluate strategies using Sharpe Ratios
• Use techniques like Random Forests and K-Nearest Neighbours to develop Quant Trading models
• Use Gradient Boosted trees and tune them for high performance
• Use techniques like Feature engineering, parameter tuning and avoiding overfitting
• Build an end-to-end application from data collection and preparation to model selection

Course Duration:

Learners will have 365 days access to their chosen course. The course is self-paced so you decide how fast or slow the training goes. If you need to extend your course access duration, it can be done at any time by extending your subscription.

COURSE CURRICULUM

1. You, This Course & Us
2. Developing Trading Strategies in Excel
3. Setting up your Development Environment
4. Setting up a Price Database
5. Decision Trees, Ensemble Learning & Random Forests
6. A Trading Strategy as Machine Learning Classification
7. Feature Engineering
8. Engineering a Complex Feature – A Categorical Variable with Past Trends
9. Building a Machine Learning Classifier in Python
10. Nearest Neighbors Classifier
11. Gradient Boosted Trees
12. Introduction to Quant Trading

How will I be assessed?

• You will have one assignment.
• You will only need to pay £19 for assessment when you submit your assignment.

What Certification am I going to receive?

Those who successfully pass this course will be awarded a Machine Learning – Quant Trading Certificate. Anyone eligible for certification will receive both FREE e-certificate(PDF format), and printed certificate. Ultima actualização em  25 February, 2019