https://github.com/nhviet03/is252_datamining_knn_pla
Implementing 2 basic classification algorithms: K-Nearest Neighbor (KNN) and Perceptron Learning Algorithm (PLA) to predict the likelihood of customers subscribing to term deposits. The implementation process from manual calculation based on mathematical formulas to utilizing libraries.
https://github.com/nhviet03/is252_datamining_knn_pla
datamining knn-classification perceptron-learning-algorithm
Last synced: 13 days ago
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Implementing 2 basic classification algorithms: K-Nearest Neighbor (KNN) and Perceptron Learning Algorithm (PLA) to predict the likelihood of customers subscribing to term deposits. The implementation process from manual calculation based on mathematical formulas to utilizing libraries.
- Host: GitHub
- URL: https://github.com/nhviet03/is252_datamining_knn_pla
- Owner: NHViet03
- Created: 2024-06-14T04:13:08.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-07-16T09:02:32.000Z (11 months ago)
- Last Synced: 2025-01-30T14:49:31.898Z (5 months ago)
- Topics: datamining, knn-classification, perceptron-learning-algorithm
- Language: Jupyter Notebook
- Homepage:
- Size: 4.82 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# IS252_DataMining_KNN_PLA
This project is used to serve as a final term project for the course in the Information Systems department at UIT: Data Mining - IS252 (10/10)