https://github.com/salmaakhalifa199/iris_classification
Classify Iris species using K-Nearest Neighbors and explore dataset visualization and evaluation metrics.
https://github.com/salmaakhalifa199/iris_classification
classification data-visualization iris-dataset knn machine-learning-models python-3
Last synced: about 2 months ago
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Classify Iris species using K-Nearest Neighbors and explore dataset visualization and evaluation metrics.
- Host: GitHub
- URL: https://github.com/salmaakhalifa199/iris_classification
- Owner: salmaakhalifa199
- Created: 2025-12-19T18:43:34.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2025-12-19T18:48:10.000Z (6 months ago)
- Last Synced: 2025-12-22T07:59:45.153Z (6 months ago)
- Topics: classification, data-visualization, iris-dataset, knn, machine-learning-models, python-3
- Language: Jupyter Notebook
- Homepage:
- Size: 406 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Iris Classification Project
This project classifies Iris flowers using K-Nearest Neighbors (KNN) and performs detailed visualization and evaluation.
## Features
- Dataset exploration and visualization
- Feature scaling
- K-Nearest Neighbors classification
- Cross-validation evaluation
- Confusion matrix visualization
- Mapping numerical predictions to species names
## Files
- `Iris_Classification.ipynb`: Main Jupyter notebook
- `IRIS.csv`: Iris dataset
## Technologies Used:
- Python
- Pandas, NumPy
- Scikit-Learn
- Matplotlib, Seaborn