A Machine Learning Course with Python
Table of Contents
The purpose of this project is to provide a comprehensive and yet simple course in Machine Learning using Python.
You can access to the full documentation with the following links:
Machine Learning, as a tool for
Artificial Intelligence, is one of the most widely adopted
scientific fields. A considerable amount of literature has been published on Machine Learning.
The purpose of this project is to provide the most important aspects of
Machine Learning by presenting a
series of simple and yet comprehensive tutorials using
Python. In this project, we built our
tutorials using many different well-known Machine Learning frameworks such as
Scikit-learn. In this project you will learn:
- What is the definition of Machine Learning?
- When it started and what is the trending evolution?
- What are the Machine Learning categories and subcategories?
- What are the mostly used Machine Learning algorithms and how to implement them?
|An Introduction to Machine Learning
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We are looking forward to your kind feedback. Please help us to improve this open source project and make our work better.
For contribution, please create a pull request and we will investigate it promptly. Once again, we appreciate
your kind feedback and support.
Creator: Machine Learning Mindset [Blog, GitHub, Twitter]
Supervisor: Amirsina Torfi [GitHub, Personal Website, Linkedin ]
Developers: Brendan Sherman*, James E Hopkins* [Linkedin], Zac Smith [Linkedin]
*: equally contributed