https://github.com/wangz10/class_imbalance

Jupyter Notebook presentation for class imbalance in binary classification
https://github.com/wangz10/class_imbalance

classification imbalanced-data machine-learning tutorial

Last synced: about 1 month ago
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Jupyter Notebook presentation for class imbalance in binary classification

• Host: GitHub
• URL: https://github.com/wangz10/class_imbalance
• Owner: wangz10
• License: cc-by-sa-4.0
• Created: 2016-02-26T21:07:39.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2018-08-11T14:31:29.000Z (almost 6 years ago)
• Last Synced: 2024-04-09T22:17:08.029Z (3 months ago)
• Topics: classification, imbalanced-data, machine-learning, tutorial
• Language: Jupyter Notebook
• Homepage:
• Size: 1.47 MB
• Stars: 49
• Watchers: 3
• Forks: 15
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Lists

• awesome-imbalanced-learning - class_imbalance - Jupyter Notebook presentation for class imbalance in binary classification. (3.2 Github Repositories / 3.2.1 *Algorithms & Utilities & Jupyter Notebooks*)

README

        
# Practical tips for class imbalance in binary classification

#### _Zichen Wang_

A [blog post](https://medium.com/@wangzc921/practical-tips-for-class-imbalance-in-binary-classification-6ee29bcdb8a7?source=friends_link&sk=16c43640eab3817a8de3cb15eedb181a) was writen based on this tutorial. 

## Requirements

To run the notebook, install modules on Python2.7 in [requirements.txt](https://github.com/wangz10/class_imbalance/blob/master/requirements.txt).

`

pip install -r requirements.txt

`