https://github.com/debanjan787/k-nearest-neighbors-tutorial
K-Nearest Neighbors (KNN) tutorial 🐙 — concept-to-code guide for classification and regression with math, NumPy/Pandas examples and Jupyter notebooks.
https://github.com/debanjan787/k-nearest-neighbors-tutorial
distance-measures documentation jupyter-notebook lazy-learning-algorithm learning-materials machine-learning mathematics matplotlib-pyplot non-parametric numpy pandas python supervised-learning tutorial-sourcecode tutorials
Last synced: about 2 months ago
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K-Nearest Neighbors (KNN) tutorial 🐙 — concept-to-code guide for classification and regression with math, NumPy/Pandas examples and Jupyter notebooks.
- Host: GitHub
- URL: https://github.com/debanjan787/k-nearest-neighbors-tutorial
- Owner: debanjan787
- License: mit
- Created: 2025-08-19T03:31:31.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2025-08-19T11:37:32.000Z (about 2 months ago)
- Last Synced: 2025-08-19T13:34:21.495Z (about 2 months ago)
- Topics: distance-measures, documentation, jupyter-notebook, lazy-learning-algorithm, learning-materials, machine-learning, mathematics, matplotlib-pyplot, non-parametric, numpy, pandas, python, supervised-learning, tutorial-sourcecode, tutorials
- Language: Jupyter Notebook
- Size: 1.24 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0