https://github.com/amueller/pydata-amsterdam-2016
Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)
Science Score: 23.0%
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1 of 2 committers (50.0%) from academic institutions -
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Low similarity (6.6%) to scientific vocabulary
Repository
Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)
Basic Info
- Host: GitHub
- Owner: amueller
- License: cc0-1.0
- Language: Jupyter Notebook
- Default Branch: master
- Size: 5.25 MB
Statistics
- Stars: 30
- Watchers: 5
- Forks: 21
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Machine Learning in Python with scikit-learn
This repository contains material for the PyData Amsterdam 2016 tutorial
Machine learning in Python with scikit-learn
by Andreas Mueller.
13:30-14:15 Saturday, 12/03/2016
Location: Room2
It is recommended that you update the materials before the course, as they might change in the days leading up to the conference.
Please bring a laptop with a working installation of Python (2.7, 3.4 or 3.5). The following packages are required:
- scikit-learn >= 0.16
- matplotlib >= 1.3
- numpy >= 1.5
- IPython >= 4.0
- Jupyter Notebook >= 4.0
The easiest way to install all requirements is to install the free Anaconda Python distribution: https://www.continuum.io/downloads (OS X, Windows, Linux)
Please download the material prior to arriving to the tutorial, and make sure you can run the notebooks. To run a notebook, start Jupyter Notebook and browse to the folder to which you downloaded it.
Owner
- Name: Andreas Mueller
- Login: amueller
- Kind: user
- Location: Los Gatos
- Company: Microsoft
- Website: http://amueller.github.io
- Twitter: amuellerml
- Repositories: 194
- Profile: https://github.com/amueller
Scikit-learn core-developer, Principal Research SDE @microsoft
GitHub Events
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Committers
Last synced: almost 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Andreas Mueller | a****r@n****u | 11 |
| Andreas Mueller | t****t@g****m | 1 |
Committer Domains (Top 20 + Academic)
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