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2021: Algorithmic Trading with Machine Learning in Python
Learn the cutting-edge in NLP with transformer models and how to apply them to the world of algorithmic trading

This Course Includes
udemy
4.4 (144 reviews )
10h 38m
english
Online - Self Paced
professional certificate
Udemy
About 2021: Algorithmic Trading with Machine Learning in Python
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
data
scientist
and build yourself a
strong
portfolio
? This course will allow you to develop your Python skills
tutored
by
professionals
. You will be able to add
Natural
Language
Processing
and
Deep
Learning
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
stock
market
and
cryptocurrency
. Use the latest technologies available such as
TensorFlow
,
PlotLy
,
HuggingFace's
Transformers
,
Flair, spaCy
, and many of the essential classics like Pandas, RegEx, Numpy, and more! 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).
What You Will Learn?
- Algorithmic trading .
- Python .
- Machine learning .
- Programming .
- Finance .
- Trading .
- Keras .
- Natural Language Processing .
- Machine Learning .
- TensorFlow .
- Twitter API .
- Sentiment Analysis.