https://github.com/amueller/strata-nyc-2016
Materials fort Strata NYC 2016 scikit-learn tutorial
Science Score: 23.0%
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Repository
Materials fort Strata NYC 2016 scikit-learn tutorial
Basic Info
- Host: GitHub
- Owner: amueller
- License: cc0-1.0
- Language: Jupyter Notebook
- Default Branch: master
- Size: 40.3 MB
Statistics
- Stars: 15
- Watchers: 2
- Forks: 12
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Machine Learning in Python with scikit-learn
This repository will contain the material for the Strata tutorial
Machine learning in Python with scikit-learn
by Andreas Mueller.
9:00am–12:30pm Tuesday, 09/27/2016
Data Science and Advanced Analytics
Location: 3D 12
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 >= 0.17
- 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.
Outline
- Part 01 - Introduction to Scikit-learn
- Part 02 - Unsupervised Transformers
- Part 03 - Cross-validation
- Part 04 - Grid Searches for Hyper Parameters
- Part 05 - Preprocessing and Pipelines
- Part 06 - Working With Text Data
- Part 07 - Feature Union
- Part 08 - Out Of Core Learning
- Part 09 - Out Of Core Learning for Text
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
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Top Committers
| Name | Commits | |
|---|---|---|
| Andreas Mueller | a****r@n****u | 25 |
| Andreas Mueller | t****t@g****m | 1 |
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