| Description |
1 online resource (1 video file (4 hr., 51 min.)) : sound, color. |
| Playing Time |
045100 |
| Description |
digital rdatr |
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video file rdaft |
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Instructional films lcgft |
| Performer |
Mustafa Qamar-ud-Din, presenter. |
| Summary |
Introducing the study of machine learning and algorithmic trading for financial practitioner About This Video Building high-frequency trading robots Applying feature engineering on stock market data Diving deeper into the pros and cons of various financial data structures Building & evaluating many machine learning models Implementing backtesting econometrics for trading strategies evaluation Hacking Ensemble Learning Algorithms in Machine Learning Featuring a premiere on Ensemble Learning with Bagging & Boosting Experience-based tutorials and hands-on financial challenges In Detail Have you ever wondered how the Stock Market, Forex, Cryptocurrency and Online Trading works? Have you ever wanted to become a rich trader having your computers work and make money for you while you're away for a trip in the Maldives? Ever wanted to land a decent job in a brokerage, bank, or any other prestigious financial institution?We have compiled this course for you in order to seize your moment and land your dream job in financial sector. This course covers the 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 a 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. Audience This course is compiled for data science beginners and professionals who want to shift their career to financial sector. This course assumes a basic knowledge of Python programming such as conditional and looping statements. The course is self contained in terms of the concepts, theories, and technologies it requires to build trading bots. |
| Subject |
Machine learning.
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Python (Computer program language)
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Machine Learning |
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Apprentissage automatique. |
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Python (Langage de programmation) |
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Machine learning |
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Python (Computer program language) |
| Genre |
Webcast |
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Instructional films
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Internet videos
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Nonfiction films
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Instructional films.
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Nonfiction films.
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Internet videos.
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Films de formation.
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Films autres que de fiction.
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Vidéos sur Internet.
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| Added Author |
Qamar-ud-Din, Mustafa, presenter.
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Packt Publishing, publisher.
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| Added Title |
Machine learning for algorithmic trading bots with Python |
| Standard No. |
9781789951165 |
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