https://github.com/bonnie/devpulsecon_machinelearning
Machine learning workshop from devpulsecon April 21, 2017
https://github.com/bonnie/devpulsecon_machinelearning
Last synced: 5 months ago
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Machine learning workshop from devpulsecon April 21, 2017
- Host: GitHub
- URL: https://github.com/bonnie/devpulsecon_machinelearning
- Owner: bonnie
- Created: 2017-04-21T16:09:15.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-04-21T20:56:50.000Z (over 8 years ago)
- Last Synced: 2025-02-17T04:27:20.282Z (8 months ago)
- Language: Jupyter Notebook
- Size: 603 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# CodeChixExercises
This project contains the notebooks from the April 21st Basics of ML Workshop.
To run them, you will need a working version of python with the following packages installed:
* Pandas
* Matplotlib
* Scikit-learn
* Jupyter
All of the necessary software comes standard with Anaconda, available for Windows, Linux, and OS/X: https://www.continuum.io/downloads
Alternatively, you may use VMWare or VirtualBox with the provided images we will circulate on a USB stick. If the internet connection is good enough, you may also download the virtual appliance from: https://www.dropbox.com/sh/2tje5hiluaqvy23/AAAAz4Rl5Rc0g5O28k4KbAPJa?dl=0
In dropbox, select a direct download of the appliance (we recommend the smaller Knoppix-based one), you can import it into VMWare or VirtualBox.
* In VirtualBox: File -> Import Appliance -> Select the file -> Continue -> Import -> When it's done hit Start
* In VMWare Fusion: File -> Import -> Choose File -> Continue -> Save (Retry As Necessary) -> When it's done hit Start Up
From within the VM: Open a terminal -> go to the Exercises directory -> run "jupyter notebook"