https://github.com/timgasser/acm_imbalanced_learning

Slides and code for the ACM Imbalanced Learning talk on 27th April 2016
https://github.com/timgasser/acm_imbalanced_learning

Last synced: about 1 month ago
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Slides and code for the ACM Imbalanced Learning talk on 27th April 2016

• Host: GitHub
• URL: https://github.com/timgasser/acm_imbalanced_learning
• Owner: timgasser
• Created: 2016-04-27T03:18:30.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2016-04-27T23:47:04.000Z (about 8 years ago)
• Last Synced: 2024-02-13T05:05:29.493Z (5 months ago)
• Language: Jupyter Notebook
• Size: 22.8 MB
• Stars: 5
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Lists

• awesome-imbalanced-learning - acm_imbalanced_learning - slides and code for the ACM Imbalanced Learning talk on 27th April 2016 in Austin, TX. (3.2 Github Repositories / 3.2.3 *Slides*)

README

        
# acm_imbalanced_learning

This repo contains slides and code for the [ACM Imbalanced Learning talk](http://www.meetup.com/Austin-ACM-SIGKDD/events/230200840/) on 27th April 2016 in Austin, TX. 

## File listing

The files in the repo are listed below, with an explanation of what they're used for.

* ```acm_imbalance_algorithms.ipynb``` - Jupyter notebook with scikit-learn classifiers training on the Kaggle dataset.

* ```acm_imbalance_datasets.{pdf, pptx}``` - Powerpoint presentation with explanation of the dataset processing and algorithms.

* ```acm_imbalance_sampling.ipynb``` - Jupyter notebook with a set of routines to pre-process imbalanced data.

* ```acm_imbalanced_dataset.R``` - R script to use the 'unbalanced' package to pre-process data to remove imbalance.

* ```datasets.zip``` - A zip file containing datasets for use in the talk. These are listed below

  * ```cs-training.csv``` - Training data from the Kaggle 'Can I get some credit' competition

  * ```cs-test.csv``` - Test data from the Kaggle competition.

  * ```sampleEntry.csv``` - Sample entry format for the Kagle competition.

  * ```cs-training-{CNN, OSS, smote, tomek}.csv``` - Processed training data (generated from ```acm_imbalanced_dataset.R```) using the algorithms in the filename.

## Feedback

Any comments, questions, or feedback please submit a pull request !