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In this course, Hands on Python guide to developing investing strategies using regression based Machine Learning techniques. Enrolling in course Regression-Based Machine Learning for Algorithmic Trading by Anthony NG.

Course: Regression-Based Machine Learning for Algorithmic Trading
Author: Anthony NG
Description: Hands on Python guide to developing investing strategies using regression based Machine Learning techniques
Skill Level: Intermediate Level
Content: 3.5 hours
Lessons: 23
Languages: English
Includes: Lifetime access
Categories: Business / Finance
There is no risk: 30-day money back guarantee!
Learn Anywhere Available: iPhone, iPad, Tablets, iOS and Android
Recognition Certificate: Course Certificate of Completion.

Take the course, Regression-Based Machine Learning for Algorithmic Trading. Here are some of the things you will learn:
You will understand and implement machine learning techniques utilizing Python sci-kit-learn library.
You will be able to understand and implement linear regression, Lasso, Ridge, ElasticNet in Python for pairs trading, and trend-following strategies.
You will be able to understand the different categories of machine learning.
You will understand the limitations of various machine learning techniques.
You will be able to understand hyper parameters and how to validate machine learning model.
You will design investment strategies following professional Quant work flow.
You will gain a deeper appreciation of challenges of modeling financial time series.

This course is intended for anyone?
This course is for investment professionals and students who would are sourcing innovative investment ideas.
This course is for investment professionals who are interested to learn to apply regression-based machine learning techniques to investing strategies.
This course is for investment professionals and students who would are sourcing innovative investment ideas.
This course is for anyone looking for ideas and gentle introduction to how artificial intelligence (AI) can be applied to investing.

Enroll in This Online Course Now!
 


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