https://github.com/jonchar/ml-python

Some machine learning algorithms implemented in python.
https://github.com/jonchar/ml-python

Last synced: about 2 months ago
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Some machine learning algorithms implemented in python.

• Host: GitHub
• URL: https://github.com/jonchar/ml-python
• Owner: jonchar
• License: mit
• Created: 2015-08-03T04:38:21.000Z (about 9 years ago)
• Default Branch: master
• Last Pushed: 2019-03-23T04:08:58.000Z (over 5 years ago)
• Last Synced: 2024-06-01T17:09:35.970Z (4 months ago)
• Language: Jupyter Notebook
• Size: 2.64 MB
• Stars: 11
• Watchers: 3
• Forks: 8
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
## Example python implementations of basic machine learning algorithms

The repository ml-python contains IPython notebooks outlining example implementations and 

applications of machine learning algorithms using Python 3, numpy, and maybe pandas.

## Motivation

The motivation for creating these notebooks came from taking Andrew Ng's machine

learning course on Coursera. The class implements the algorithms in GNU Octave / 

MATLAB so I decided to try implementing them using Python as a challenge, to 

reinforce the concepts, and also just for fun.

These notebooks are intended to serve as examples and references for the

basic gist of the outlined machine learning algorithms.

## Current examples:

* Linear regression

* Logistic regression

* *k*-means clustering

* Artificial neural networks (vanilla or using [Keras](http://keras.io))

* Support vector machines

## Upcoming examples:

These are currently in progress at various stages of completion.

* Limitations of *k*-means clustering

* Cross-validation