https://github.com/ncordon/undergraduate-dissertation
Final career project on PAC theory and imbalanced datasets
https://github.com/ncordon/undergraduate-dissertation
imbalanced-learning machine-learning pac-theory
Last synced: 4 months ago
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Final career project on PAC theory and imbalanced datasets
- Host: GitHub
- URL: https://github.com/ncordon/undergraduate-dissertation
- Owner: ncordon
- License: gpl-3.0
- Created: 2016-09-25T10:48:55.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2020-09-06T21:42:00.000Z (almost 6 years ago)
- Last Synced: 2025-10-30T21:45:37.157Z (8 months ago)
- Topics: imbalanced-learning, machine-learning, pac-theory
- Language: TeX
- Homepage:
- Size: 1.07 MB
- Stars: 18
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# tfg
Final degree project on PAC learning math theory and imbalance preprocessing algorithms
# Probably Approximately Correct Learning

Written in Spanish.
## Useful resources on the topic
- Shai Shalev-Shwartz and Shai Ben-David's book: [Understanding Machine Learning](http://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/)
- Shai Ben-David's youtube [channel](http://bit.ly/2wZC98m) with lessons based on the book.
# `imbalance` package
I am developing an `R` package called [`imbalance`](https://ncordon.github.io/imbalance) to balance binary class datasets (mostly containing oversampling algorithms)