https://github.com/somjit101/ds-knn-k-fold-cv
An implementation of the **k-Nearest Neighbours Classification Algorithm** using some popular demo datasets.
https://github.com/somjit101/ds-knn-k-fold-cv
classification-algorithm cross-validation cross-validation-scores k-fold-cross-validation k-nearest-neighbor-classifier k-nearest-neighbors k-nearest-neighbours knn-classifier
Last synced: 4 months ago
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An implementation of the **k-Nearest Neighbours Classification Algorithm** using some popular demo datasets.
- Host: GitHub
- URL: https://github.com/somjit101/ds-knn-k-fold-cv
- Owner: somjit101
- Created: 2021-06-15T17:49:19.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2021-06-15T18:14:24.000Z (about 4 years ago)
- Last Synced: 2025-01-16T18:26:37.864Z (5 months ago)
- Topics: classification-algorithm, cross-validation, cross-validation-scores, k-fold-cross-validation, k-nearest-neighbor-classifier, k-nearest-neighbors, k-nearest-neighbours, knn-classifier
- Language: Jupyter Notebook
- Homepage:
- Size: 1.87 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# DS-kNN-K-Fold-CV
An implementation of the **k-Nearest Neighbours Classification Algorithm** using some popular demo datasets.
We have also demonstrated the use of K-Fold Cross validation using the training data to determine the best value of the hyperparameter k on [this](HyperparameterTuning_KFoldCV.ipynb) file. The decision surface has been shown using two different approaches :
* Implementing from scratch using Meshgrid [here](KNN_Decision_Surface_From_Scratch.ipynb)
* Using mlxtend library [here](KNN_Automated_Decision_Surface.ipynb).