Machine Learning for Quant Finance and Algorithmic Trading

Master Machine Learning and Python for Quantitative Finance and Learn to Build and Backtest Algo Trading Strategies.

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Learn about complete life cycle of a Machine Learning Project from Data Processing to Building ML models to Deployment on WebApps built using Streamlit.
You will learn about Complex Financial Market concepts like Derivatives, Asset pricing models, Technical Analysis, etc... in simple terms without any jargons.
This course covers essentials of Machine Learning and Deep Learning that will help to get an edge in your Quant Analysis of Financial Data.
Learn to build your own Trading Strategies using Machine Learning and Backtest them using Python.
You will learn how to quickly build your own Web Apps and Dashboards for your Quant Analysis using Streamlit.
This course also has lots of Hands on Coding Projects in Python, Machine Learning, Deep Learning and Streamlit.

Basic understanding of Python Programming Language. Prior knowledge Financial Markets is not necessary.

Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!

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