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: 17 days 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 (3 months ago)
• Default Branch: main
• Last Pushed: 2024-08-29T23:18:31.000Z (3 months ago)
• Last Synced: 2024-10-10T03:41:28.032Z (about 1 month 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