https://github.com/olamide100/prediction-of-client-compliant-category
This data set has 312912 rows and 14 columns. for our Prediction we worked with just two columns, which are the issue columns later renamed to Consumer_complaint_narrative as the text features and the product column as the target(label), and our generating predictive model will be MultinomialNB under naives bayes classifier
https://github.com/olamide100/prediction-of-client-compliant-category
customers-services feedback-systems
Last synced: 2 months ago
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This data set has 312912 rows and 14 columns. for our Prediction we worked with just two columns, which are the issue columns later renamed to Consumer_complaint_narrative as the text features and the product column as the target(label), and our generating predictive model will be MultinomialNB under naives bayes classifier
- Host: GitHub
- URL: https://github.com/olamide100/prediction-of-client-compliant-category
- Owner: OLAMIDE100
- Created: 2021-02-07T13:26:38.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2021-02-07T13:40:45.000Z (over 4 years ago)
- Last Synced: 2025-01-21T03:13:26.647Z (4 months ago)
- Topics: customers-services, feedback-systems
- Language: Jupyter Notebook
- Homepage:
- Size: 5.41 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0