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https://github.com/shaadclt/iris-species-detection-knn
This project involves detecting iris species using the k-nearest neighbors (KNN) algorithm in Jupyter Notebook. The iris species detection task is a classic problem in machine learning, where the goal is to classify iris flowers into different species based on their measurements.
https://github.com/shaadclt/iris-species-detection-knn
k-nearest-neighbor-classifier
Last synced: 27 days ago
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This project involves detecting iris species using the k-nearest neighbors (KNN) algorithm in Jupyter Notebook. The iris species detection task is a classic problem in machine learning, where the goal is to classify iris flowers into different species based on their measurements.
- Host: GitHub
- URL: https://github.com/shaadclt/iris-species-detection-knn
- Owner: shaadclt
- Created: 2022-10-25T09:47:47.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2023-07-08T13:17:03.000Z (over 1 year ago)
- Last Synced: 2024-04-20T20:54:06.657Z (9 months ago)
- Topics: k-nearest-neighbor-classifier
- Language: Jupyter Notebook
- Homepage:
- Size: 43 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0