The purpose of this project is to provide a comprehensive and yet simple course in Machine Learning using Python.
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:
Title | Document |
---|---|
An Introduction to Machine Learning | Overview |
Title | Code | Document |
---|---|---|
Linear Regression | Python | Tutorial |
Overfitting / Underfitting | Python | Tutorial |
Regularization | Python | Tutorial |
Cross-Validation | Python | Tutorial |
Title | Code | Document |
---|---|---|
Decision Trees | Python | Tutorial |
K-Nearest Neighbors | Python | Tutorial |
Naive Bayes | Python | Tutorial |
Logistic Regression | Python | Tutorial |
Support Vector Machines | Python | Tutorial |
Title | Code | Document |
---|---|---|
Clustering | Python | Tutorial |
Principal Components Analysis | Python | Tutorial |
Title | Code | Document |
---|---|---|
Neural Networks Overview | Python | Tutorial |
Convolutional Neural Networks | Python | Tutorial |
Autoencoders | Python | Tutorial |
Recurrent Neural Networks | Python | IPython |
Please consider the following criterions in order to help us in a better way:
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
此处可能存在不合适展示的内容,页面不予展示。您可通过相关编辑功能自查并修改。
如您确认内容无涉及 不当用语 / 纯广告导流 / 暴力 / 低俗色情 / 侵权 / 盗版 / 虚假 / 无价值内容或违法国家有关法律法规的内容,可点击提交进行申诉,我们将尽快为您处理。