https://github.com/ritchie46/vanilla-machine-learning

vanilla machine learning
https://github.com/ritchie46/vanilla-machine-learning

Last synced: 16 days ago
JSON representation

vanilla machine learning

• Host: GitHub
• URL: https://github.com/ritchie46/vanilla-machine-learning
• Owner: ritchie46
• Created: 2017-06-24T18:42:10.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2023-07-06T21:51:06.000Z (over 1 year ago)
• Last Synced: 2024-10-20T08:34:02.894Z (23 days ago)
• Language: Jupyter Notebook
• Size: 15 MB
• Stars: 107
• Watchers: 8
• Forks: 36
• Open Issues: 3
• Metadata Files:
  • Readme: readme.md

Awesome Lists containing this project

README

        
# Various machine learning algorithms. Mostly vanilla.

* [bayesian optimization](https://www.ritchievink.com/blog/2019/08/25/algorithm-breakdown-bayesian-optimization/)

* [gaussian processes](https://www.ritchievink.com/blog/2019/02/01/an-intuitive-introduction-to-gaussian-processes/)

* [bayesian generalized additive models](https://www.ritchievink.com/blog/2018/10/09/build-facebooks-prophet-in-pymc3-bayesian-time-series-analyis-with-generalized-additive-models/)

* [gradient boosting machines](https://www.ritchievink.com/blog/2018/10/09/algorithm-breakdown-why-do-we-call-it-gradient-boosting/)

* [dirichlet gaussian mixture models](https://www.ritchievink.com/blog/2018/06/05/clustering-data-with-dirichlet-mixtures-in-edward-and-pymc3/)

* [affinity propagation](https://www.ritchievink.com/blog/2018/05/18/algorithm-breakdown-affinity-propagation/)

* [genetic algorithms](https://www.ritchievink.com/blog/2018/01/14/computer-build-me-a-bridge/)

* [support vector machine](https://www.ritchievink.com/blog/2017/11/27/implementing-a-support-vector-machine-in-scala/)

* [neural network](https://ritchievink.com/blog/2017/07/10/programming-a-neural-network-from-scratch/)

* [arima models](https://www.ritchievink.com/blog/2018/09/26/algorithm-breakdown-ar-ma-and-arima-models./)

* [expectation maximization](/clustering/expectation_maximization.ipynb)