"Machine Learning for Algorithmic Trading Bots with Python"

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4h 50m | 881 MB

This course covers advances in the techniques developed for algorithmic trading and financial analysis based on the recent breakthroughs in machine learning. We leverage the classic techniques widely used and applied by financial data scientists to equip you with the necessary concepts and modern tools to reach a common ground with financial professionals and conquer your next interview.

By the end of the course, you will gain a solid understanding of financial terminology and methodology and hands-on experience in designing and building financial machine learning models. You will be able to evaluate and validate different algorithmic trading strategies. We have a dedicated section to backtesting which is the holy grail of algorithmic trading and is an essential key to successful deployment of reliable algorithms.

What You Will Learn

You will learn about financial terminology and methodology and how to apply them

Get hands-on financial data structures and financial machine learning

Understand complex financial terminology and methodology in simple ways

Ensemble models and cross-validation for financial applications

Backtesting for models and strategies evaluation and validation

Apply your skills to real world cryptocurrency trading such as BitCoin and Ethereum

Putting machine learning into real world problems and derive solutions

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http://nitroflare.com/view/D43496B079369AF/Sanet.st_Machine_Learning_for_Algorithmic_Trading_Bots_with_Python.rar

https://rapidgator.net/file/6c780fa88a974d7640b0e5707463e645/Sanet.st_Machine_Learning_for_Algorithmic_Trading_Bots_with_Python.rar

May not be quite as good as it sounds, coming from a tech publisher well known for rushed production, but could well contain some decent info. Kudos to the original uploader!