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https://github.com/2003harsh/emotion-detection-using-mlops
This Python-based sentiment analysis project emphasizes MLOps practices. It features data ingestion, preprocessing, and Bag of Words (BOW) for feature engineering. DVC is used for version control, while an ML pipeline manages the workflow for training a Gradient Boosting Classifier. Model performance is evaluated using metrics like accuracy and ROC
https://github.com/2003harsh/emotion-detection-using-mlops
Last synced: about 2 months ago
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This Python-based sentiment analysis project emphasizes MLOps practices. It features data ingestion, preprocessing, and Bag of Words (BOW) for feature engineering. DVC is used for version control, while an ML pipeline manages the workflow for training a Gradient Boosting Classifier. Model performance is evaluated using metrics like accuracy and ROC
- Host: GitHub
- URL: https://github.com/2003harsh/emotion-detection-using-mlops
- Owner: 2003HARSH
- License: mit
- Created: 2024-10-14T06:18:12.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2024-10-24T14:31:43.000Z (2 months ago)
- Last Synced: 2024-10-25T18:09:41.788Z (2 months ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 76.2 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE