Applied Machine Learning with R (Trading Use Case) - 2020

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 What you'll learn The course is designed to fully immerse you into the complete quantitative trading/finance workflow, going from hypothesis generation to data preparation, feature engineering and training testing of multiple machine learning algorithms (backtesting). It is a bootcamp designed to get you from zero to hero using R. The course is aimed at teaching about trading, giving you understanding of the differences between discretionary and quantitative trading. You will learning about different trading instruments/products or also known as asset classes. Disclaimer This course is for educational purpose and does not constitute trading or investment advice.