A machine learning course with Jupyter/IPython

A repository of Jupyter/IPython notebooks with the slides and code examples for my machine learning class.

Important: This repository has been migrated to the RIO Group repo (https://github.com/rio-group/machine-learning-course). This version of the slides will remain online but will not be maintained or updated.

Notes:

Coded in Python 3.x. Python 2.x is not supported.
See requirements.txt for a full list of requirements.
Using Anaconda is recommended.

Third-party images and materials usage note

I have tried to acknowledge the corresponding author whenever I am using third-party materials. If you find any misattributions do not hesitate to contact me.

Name		Name	Last commit message	Last commit date
Latest commit History 73 Commits
data		data
fig_code		fig_code
figs		figs
imgs		imgs
.gitignore		.gitignore
00. Python Tutorial.ipynb		00. Python Tutorial.ipynb
01. Introduction.ipynb		01. Introduction.ipynb
02. Linear regression.ipynb		02. Linear regression.ipynb
03. Linear classification.ipynb		03. Linear classification.ipynb
04. Artificial neural networks.ipynb		04. Artificial neural networks.ipynb
05. Programming Neural Networks.ipynb		05. Programming Neural Networks.ipynb
06. Deep Learning.ipynb		06. Deep Learning.ipynb
07. Unsupervised learning and clustering.ipynb		07. Unsupervised learning and clustering.ipynb
08. Assessment and Parameter Optimization.ipynb		08. Assessment and Parameter Optimization.ipynb
README.md		README.md
requirements.txt		requirements.txt

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A machine learning course with Jupyter/IPython

Third-party images and materials usage note

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