https://github.com/sasomoto/ml-fault-analysis-algorithm-comparision
This contains the code that I wrote while working on a personal project which was about a comparative analysis of K Nearest Neighbours and Random Forest algorithms by variation of parameters
https://github.com/sasomoto/ml-fault-analysis-algorithm-comparision
knearest-neighbor-algorithm machine-learning random-forest
Last synced: 5 months ago
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This contains the code that I wrote while working on a personal project which was about a comparative analysis of K Nearest Neighbours and Random Forest algorithms by variation of parameters
- Host: GitHub
- URL: https://github.com/sasomoto/ml-fault-analysis-algorithm-comparision
- Owner: sasomoto
- Created: 2024-07-18T21:42:28.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-07-18T21:45:08.000Z (almost 2 years ago)
- Last Synced: 2025-03-26T16:53:19.403Z (over 1 year ago)
- Topics: knearest-neighbor-algorithm, machine-learning, random-forest
- Homepage:
- Size: 6.84 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# ML-Fault-Analysis-Algorithm-Comparision
This contains the code that I wrote while working on a personal project which was about a comparative analysis of K Nearest Neighbours and Random Forest algorithms by variation of parameters. I wrote this code which includes 4 parameters for the K Nearest Neighbours algorithm and 5 parameters for the Random Forest algorithm. I did this to help my senior as a part of a larger project which I cannot reveal due to confidential reasons. I wrote a code for principal component analysis as well as one without it.