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https://github.com/sadratehranian/pem-fuel-cell
The methodology section details the use of Python for data processing and analysis, employing statistical and machine learning-based anomaly detection techniques to identify potential issues in fuel cell stacks. It emphasizes data preprocessing, feature engineering, exploratory data analysis (EDA), and anomaly detection.
https://github.com/sadratehranian/pem-fuel-cell
anomaly-detection data-analysis data-science data-visualization exploratory-data-analysis feature-engineering fuel-cell machine-learning preprocessing python statistical-analysis visual-studio-code
Last synced: about 9 hours ago
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The methodology section details the use of Python for data processing and analysis, employing statistical and machine learning-based anomaly detection techniques to identify potential issues in fuel cell stacks. It emphasizes data preprocessing, feature engineering, exploratory data analysis (EDA), and anomaly detection.
- Host: GitHub
- URL: https://github.com/sadratehranian/pem-fuel-cell
- Owner: Sadratehranian
- Created: 2025-01-20T19:35:14.000Z (11 days ago)
- Default Branch: main
- Last Pushed: 2025-01-20T20:00:41.000Z (11 days ago)
- Last Synced: 2025-01-20T21:18:49.757Z (11 days ago)
- Topics: anomaly-detection, data-analysis, data-science, data-visualization, exploratory-data-analysis, feature-engineering, fuel-cell, machine-learning, preprocessing, python, statistical-analysis, visual-studio-code
- Language: Python
- Homepage: https://github.com/Sadratehranian/PEM-Fuel-Cell
- Size: 5.72 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0