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https://github.com/ghoumbadji/analyzing-customer-churn-for-a-telecom-company
The project involves utilizing various machine learning techniques, both supervised and unsupervised, to detect customer churn and identify the key factors contributing to it.
https://github.com/ghoumbadji/analyzing-customer-churn-for-a-telecom-company
churn-analysis churn-prediction kaggle machine-learning pandas random-forest-classifier scikit-learn
Last synced: 13 days ago
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The project involves utilizing various machine learning techniques, both supervised and unsupervised, to detect customer churn and identify the key factors contributing to it.
- Host: GitHub
- URL: https://github.com/ghoumbadji/analyzing-customer-churn-for-a-telecom-company
- Owner: ghoumbadji
- License: mit
- Created: 2024-12-23T17:23:46.000Z (16 days ago)
- Default Branch: main
- Last Pushed: 2024-12-23T20:20:33.000Z (16 days ago)
- Last Synced: 2024-12-23T21:24:54.020Z (16 days ago)
- Topics: churn-analysis, churn-prediction, kaggle, machine-learning, pandas, random-forest-classifier, scikit-learn
- Language: Jupyter Notebook
- Homepage:
- Size: 396 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Analyzing-Customer-Churn-for-a-Telecom-Company
The project involves utilizing various machine learning techniques, both supervised and unsupervised, to detect customer churn and identify the key factors contributing to it.