Applied Machine Learning with R (Trading Use Case) - 2020
Learn the complete quantitative finance workflow and use machine learning algorithms in R to develop trading strategies
3.94 (82 reviews)
415
students
5.5 hours
content
Feb 2020
last update
$54.99
regular price
What you will learn
Understand how to develop a quantitative trading strategy
how to use machine learning for trading in R
Learn about different type of machine learning algorithms (Naive Bayes, support vector machines and random Forest) for developing profitable trading strategies
Learn to write simple and powerful codes in r for quantitative finance
Understand the difference between trading actors in the market and learn about manual and systematic trading strategies
How to predict the price direction of any asset class using custom written scripts and algorithms in R
Use different hyperparameters to improve predictive power of classification based machine learning models
Learn how to analyse PnL and performance metrics of trading strategies
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2112558
udemy ID
28/12/2018
course created date
22/11/2019
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