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.
4.25 (12 reviews)
1,700
students
11 hours
content
Dec 2024
last update
$64.99
regular price
What you will learn
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.
Screenshots
6290473
udemy ID
11/16/2024
course created date
12/7/2024
course indexed date
Angelcrc Seven
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