https://github.com/phuijse/courses_notebooks
Jupyter notebooks for the EL4106 "Computational Intelligence" and AS4501 "Astroinformatics" courses at Universidad de Chile
https://github.com/phuijse/courses_notebooks
astroinformatics computational-intelligence machine-learning
Last synced: about 1 month ago
JSON representation
Jupyter notebooks for the EL4106 "Computational Intelligence" and AS4501 "Astroinformatics" courses at Universidad de Chile
- Host: GitHub
- URL: https://github.com/phuijse/courses_notebooks
- Owner: phuijse
- Created: 2017-09-21T22:13:54.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2017-10-31T15:02:21.000Z (over 7 years ago)
- Last Synced: 2025-03-26T09:51:15.435Z (about 2 months ago)
- Topics: astroinformatics, computational-intelligence, machine-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 6.63 MB
- Stars: 4
- Watchers: 1
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.rst
Awesome Lists containing this project
README
Machine-learning notebooks
==========================
Jupyter notebooks on machine-learning algorithms. These are supplementary material for the AS4501 "Astroinformatics" and EL4106 "Computational Intelligence" courses at Universidad de Chile.
1. `Neural networks: `_ pure-numpy multilayer perceptron (MLP), tensorflow MLP and Bayesian MLP with PyMC3
2. `Support vector machines: `_ C-SVM, nu-SVM and one-class SVM using scikit-learn
3. `Boosting with decision trees: `_ Decision trees, Adaboost and Gradient boosting using scikit-learn
4. `Bagging with decision trees: `_ Decision trees, Bagging and Random Forest using scikit-learn
5. `Self organizing maps: `_ Color clustering through SOM using Somoclu
Requirements will vary between notebooks. Incomplete list of dependecies:
* Python 3 (not tested with Python 2)
* `Numpy `_
* `Tensorflow `_
* `PyMC3 `_
* `Theano `_
* `Scikit-learn `_
* `Somoclu `_