Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/ascender1729/iris-flower-classification-2024
An exploratory data analysis and machine learning project using the Iris dataset to classify flower species with a K-Nearest Neighbors classifier. It includes data visualization, feature scaling, model training, and evaluation with 100% accuracy on the test set.
https://github.com/ascender1729/iris-flower-classification-2024
classification data-analysis iris-dataset k-nearest-neighbors machine-learning matplotlib pandas python scikit-learn seaborn
Last synced: about 4 hours ago
JSON representation
An exploratory data analysis and machine learning project using the Iris dataset to classify flower species with a K-Nearest Neighbors classifier. It includes data visualization, feature scaling, model training, and evaluation with 100% accuracy on the test set.
- Host: GitHub
- URL: https://github.com/ascender1729/iris-flower-classification-2024
- Owner: ascender1729
- License: mit
- Created: 2024-04-04T16:39:53.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-04-11T19:34:38.000Z (10 months ago)
- Last Synced: 2024-05-02T06:07:54.216Z (9 months ago)
- Topics: classification, data-analysis, iris-dataset, k-nearest-neighbors, machine-learning, matplotlib, pandas, python, scikit-learn, seaborn
- Language: Jupyter Notebook
- Homepage:
- Size: 782 KB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0