In the next section we will look at two commonly used machine learning techniques linear regression and knn and see how they perform on our stock market data. Fundamentals of machine learning in finance will provide more at depth view of supervised unsupervised and reinforcement learning and end up in a project on using unsupervised learning for implementing a simple portfolio trading strategy.
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To date hes amassed over 1 million followers of his educational tutorials on machine learning across social media platforms like youtube facebook instagram twitter and linkedin.
Fundamentals of machine learning in finance github. 7 in the end for a real time project we will setup our own private git repository server. In this video we are going to do the whole course from beginning to end in miniature. Fundamentals of machine learning for predictive data analytics.
It contains all the supporting project files necessary to work through the video course from start to finish. Fundamentals of machine learning in finance will provide more at depth view of supervised unsupervised and reinforcement learning and end up in a project on using unsupervised learning for implementing a simple portfolio trading strategy. Contribute to brucewuzhangfundamentals of machine learning in finance development by creating an account on github.
Machine learning is often used to build predictive models by extracting patterns from large datasets. The most basic machine learning algorithm that can be implemented on this data is linear regression. Fundamentals of machine learning with scikit learn video this is the code repository for fundamentals of machine learning with scikit learn video published by packt.
6 after that we will learn about github and gitlab. About the video course. Building a data collecting algorithm serving it via a webhook deploying it to aws designing a model running the model on meeshkan and visualizing the results will be the.
This course explores the basic concepts and underlying principles of artificial intelligence ai delving into the fundamentals of machine learning with insights from case studies of relevant technologies. Machine learning specilization course 2. Every subject of this video.
These models are used in predictive data analytics applications including price prediction risk assessment predicting customer behavior and document classification. His work has been publicly admired by elon musk ceo tesla demis hassabis ceo deepmind greg brockman ceo openai and many other tech leaders. This will be the outline for the course the thing will be mostly a practical and easily understandable approach and is thought that you practice along with it for a better learning experience.
Machine learning the github api.