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An introduction to machine learning with scikit-learn #45

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aliojjati opened this Issue Sep 28, 2015 · 0 comments

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aliojjati commented Sep 28, 2015

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scikit-learn is a Python package for multivariate analysis using machine learning built on top of SciPy , NumPy
Where: Research Commons Room 7010, Maggie Benston Library
When: 11:30 am - 12:30 pm, Monday, November 2, 2015
Etherpad: https://beta.etherpad.org/p/2015-11-02-SFU

Install

Dependencies: Make sure you have
Python (>= 2.6 or >= 3.3),
NumPy (>= 1.6.1),
SciPy (>= 0.9).
To check version of your Python and related packages do as following
|==>$ python -V
|==>$ python

import numpy, scipy
print numpy.version , scipy.version

Mac OSX :
|==>$ pip install -U numpy scipy scikit-learn
(If you don't have pip already installed, please first install it)
If you like to have a copy of the package for more serious code developing:
|==>$ git clone https://github.com/scikit-learn/scikit-learn.git
|==>$ cd scikit-learn
|==>$ python setup.py install --user
Windows & Linux:
Please follow the instructions on the http://scikit-learn.org/stable/install.html

Tutorial notes

http://scikit-learn.org/stable/tutorial/basic/tutorial.html
http://scikit-learn.org/stable/modules/tree.html

@aliojjati aliojjati added the workshop label Sep 28, 2015

@aliojjati aliojjati self-assigned this Sep 28, 2015

@S-Bahrasemani S-Bahrasemani changed the title from ScikitLearn, a python tool for multivariate analysis to An introduction to machine learning with scikit-learn Nov 2, 2015

@aliojjati aliojjati closed this Nov 9, 2015

brunogrande pushed a commit that referenced this issue May 24, 2016

Merge pull request #45 from ibab/pull
Add _site to .gitignore
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