https://github.com/ljadhav25/false-alarm-detection

The data was first pre-processed and analysis libraries like Numpy and Pandas were used to make it ready to be utilized by a machine learning algorithm.Problems like standard scaling, categorical data and missing values were handled with appropriate techniques. Then, we used LogisticRegression model.
https://github.com/ljadhav25/false-alarm-detection

flask flask-api logestic-regression numpy pandas pkl pycharm-ide python

Last synced: 8 days ago
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The data was first pre-processed and analysis libraries like Numpy and Pandas were used to make it ready to be utilized by a machine learning algorithm.Problems like standard scaling, categorical data and missing values were handled with appropriate techniques. Then, we used LogisticRegression model.

• Host: GitHub
• URL: https://github.com/ljadhav25/false-alarm-detection
• Owner: LJadhav25
• Created: 2024-06-05T06:56:50.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-06-05T06:59:35.000Z (5 months ago)
• Last Synced: 2024-10-16T22:12:12.434Z (22 days ago)
• Topics: flask, flask-api, logestic-regression, numpy, pandas, pkl, pycharm-ide, python
• Language: Python
• Homepage:
• Size: 95.7 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# False-Alarm-Detection