https://github.com/parvvaresh/knn-from-scratch
K-Nearest Neighbors Algorithm. The k-nearest neighbors algorithm, also known as KNN or k-NN, is a non-parametric, supervised learning classifier, which uses proximity to make classifications or predictions about the grouping of an individual data point.
https://github.com/parvvaresh/knn-from-scratch
jupyter-notebook machine-learning numpy python
Last synced: 3 months ago
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K-Nearest Neighbors Algorithm. The k-nearest neighbors algorithm, also known as KNN or k-NN, is a non-parametric, supervised learning classifier, which uses proximity to make classifications or predictions about the grouping of an individual data point.
- Host: GitHub
- URL: https://github.com/parvvaresh/knn-from-scratch
- Owner: parvvaresh
- Created: 2023-03-02T10:59:16.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-03-02T13:43:51.000Z (over 2 years ago)
- Last Synced: 2023-03-16T05:20:34.549Z (over 2 years ago)
- Topics: jupyter-notebook, machine-learning, numpy, python
- Language: Jupyter Notebook
- Homepage:
- Size: 66.4 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0