Download available within 1-2 hours. In this course, you will learn how to apply the newest methods in machine learning and natural language processing to predictive analysis of the stock market and cryptocurrency.
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Udemy – Algorithmic Trading with Machine Learning in Python
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What you’ll learn
Algorithmic trading
Python
Machine learning
Programming
Finance
Trading
Keras
Natural Language Processing
Machine Learning
TensorFlow
Twitter API
Sentiment Analysis
Requirements
Quantitative Background is a plus.
Experience with Python is a plus.
Description
Hi there, we are James and Sajid. Both of us are working as data scientists for various banks here in London, and we have both gone a long way before arriving at our current position in the market.
Do you wish to become a datascientist and build yourself a strongportfolio? This course will allow you to develop your Python skills tutoredbyprofessionals. You will be able to add NaturalLanguageProcessing and DeepLearning to your CV and start getting paid for your skills.
In this course, you will learn how to apply the newest methods in machine learning and natural language processing to predictive analysis of the stockmarket and cryptocurrency.
Use the latest technologies available such as TensorFlow, PlotLy, HuggingFace’sTransformers, Flair, spaCy, and many of the essential classics like Pandas, RegEx, Numpy, and more!
Get immediately download Udemy – Algorithmic Trading with Machine Learning in Python
We will cover:
– TensorFlow
– Sentiment Analysis
– Transformers (including Google AI’s BERT)
– APIs (including Twitter and Reddit)
– Trading for cryptocurrencies
– Named Entity Recognition (NER)
Take this course if you are learning Python and/or Machine Learning and looking to apply these skills to the stock market. We can’t promise to ‘fix’ on the stock market, but we can promise that you will learn many priceless skills that when applied correctly, can translate to a real benefit both in the job market, and the stock market.
The course is taught by two data scientists from the finance sector. Sajid of Trading 707, who works in Banking and Capital Markets. And James of Aurelio, who specializes in Natural Language Processing (NLP).
Who this course is for:
Beginner Python developer
Data scientist
Finance and Computer Science student
