https://github.com/lorenzobloise/client_satisfaction_classification
Jupyter notebook in which satisfaction from clients reviewing European hotels is analyzed using Python libraries such as pandas, numpy and scikit-learn. Various classification models are trained and tested to predict client satisfaction.
https://github.com/lorenzobloise/client_satisfaction_classification
classification data data-mining jupyter jupyter-notebook machine-learning pandas python
Last synced: 4 months ago
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Jupyter notebook in which satisfaction from clients reviewing European hotels is analyzed using Python libraries such as pandas, numpy and scikit-learn. Various classification models are trained and tested to predict client satisfaction.
- Host: GitHub
- URL: https://github.com/lorenzobloise/client_satisfaction_classification
- Owner: lorenzobloise
- Created: 2024-08-29T23:18:10.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-08-29T23:18:31.000Z (almost 2 years ago)
- Last Synced: 2025-02-13T11:54:14.632Z (over 1 year ago)
- Topics: classification, data, data-mining, jupyter, jupyter-notebook, machine-learning, pandas, python
- Language: Jupyter Notebook
- Homepage:
- Size: 2.75 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Dataset
https://www.kaggle.com/datasets/ishansingh88/europe-hotel-satisfaction-score/code