https://github.com/ethiy/svm-fs
SVM and Feature Selection course.
https://github.com/ethiy/svm-fs
course feature-selection jupyter-notebook scikit-learn svm svm-classifier
Last synced: about 2 months ago
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SVM and Feature Selection course.
- Host: GitHub
- URL: https://github.com/ethiy/svm-fs
- Owner: ethiy
- License: gpl-3.0
- Created: 2017-11-30T10:48:55.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2019-02-05T11:45:29.000Z (over 7 years ago)
- Last Synced: 2025-02-08T05:28:11.453Z (over 1 year ago)
- Topics: course, feature-selection, jupyter-notebook, scikit-learn, svm, svm-classifier
- Language: TeX
- Homepage:
- Size: 149 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# SVM and Feature Selection
## Practical session
For the practical session, you need to install `jupyter` in order to work on the notebook. You also need the last `scikit-learn` version `v0.19`.
### Install
For Unix based systems, if you already have `python3` and its package manager `pip3` you just have to execute these lines.
```bash
sudo -H pip3 install jupyter
sudo -H pip3 install scikit-learn
```
If you just want to upgrade a package, just type:
```bash
sudo -H pip3 install -U scikit-learn
```
For Windows, You can either:
* install `python3` and `pip3` and add them to your `%PATH%`;
* or just install `anaconda` for `python3` form [here](https://www.anaconda.com/download/#windows).
To run the notebook, you just have to go to the right directory and launch it via:
```bash
$ cd /path/to/folder
$ jupyter notebook
```