2021: Algorithmic Trading with Machine Learning in Python

[LeeAndro]

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 47 lectures (9h 24m) | Size: 3.62 GB

Quantitative Background is a plus.

Learn the cutting-edge in NLP with transformer models and how to apply them to the world of algorithmic trading

Algorithmic trading

Python

Machine learning

Programming

Finance

Trading

Keras

Natural Language Processing

Machine Learning

TensorFlow

Twitter API

Sennt Analysis

Experience with Python is a plus.

Hi there, we are James and Sajid. Both of us are working as a data scientist 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, and many of the essential classics like Pandas, RegEx, Numpy, and more!

We will cover:

- TensorFlow

- Sennt Analysis

- Transformers (including Google AI's BERT)

- APIs

- Trading for cryptocurrencies

- The Twitter API

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).

Bner Python developer

Data scientist

Finance and Computer Science student



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