https://github.com/mohamed-kalandar-sulaiman/transmission-line-fault-detection-using-ml
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https://github.com/mohamed-kalandar-sulaiman/transmission-line-fault-detection-using-ml
academic-project python3
Last synced: 8 months ago
JSON representation
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- Host: GitHub
- URL: https://github.com/mohamed-kalandar-sulaiman/transmission-line-fault-detection-using-ml
- Owner: Mohamed-Kalandar-Sulaiman
- Created: 2021-12-26T06:53:07.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2022-02-17T08:16:21.000Z (over 3 years ago)
- Last Synced: 2025-01-05T09:31:34.080Z (9 months ago)
- Topics: academic-project, python3
- Language: Jupyter Notebook
- Homepage:
- Size: 2.36 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# Transmission-Line-Fault-Detection-using-ML
Hey there !!!
I did this miniproject as a part of my academic elective course "Programming with Python".
I hope the ipynb file itself is self explanatory. Also you need not install any software or libraries for running this code.
Open ipynb file in Google colab and do the below steps...
To download and use CSV file follow these steps ....................
https://evidencen.com/how-to-upload-your-csv-file-online/
once the csv file gets accessed , preview the csv file .
:)
Features : Va,Vb,Vc, Ia, Ib ,Ic
Target : FaultClassification ML models used are......
Algorithms:•DecisionTreeClassifier
•RandomForestClassifier
•KnearestNeighbours
•SupportVectorMachine
•MultiLayerPerceptronPython Packages used...
•Pandas
•MatplotLib
•Seaborn
•SciKit Learn