https://github.com/shubhamsoni98/project_using_knn
This project applies the K-Nearest Neighbors (KNN) algorithm to predict iPhone purchases based on customer data. Using features like age, salary, and previous purchase behavior, the KNN model classifies customers into buyers and non-buyers.
https://github.com/shubhamsoni98/project_using_knn
anaconda analytics data data-science eda knn knn-classification machine-learning-algorithms predict project python scikit-learn tableau
Last synced: 6 months ago
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This project applies the K-Nearest Neighbors (KNN) algorithm to predict iPhone purchases based on customer data. Using features like age, salary, and previous purchase behavior, the KNN model classifies customers into buyers and non-buyers.
- Host: GitHub
- URL: https://github.com/shubhamsoni98/project_using_knn
- Owner: shubhamsoni98
- Created: 2024-09-12T09:49:24.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-09-12T10:09:19.000Z (almost 2 years ago)
- Last Synced: 2025-01-22T08:37:55.428Z (over 1 year ago)
- Topics: anaconda, analytics, data, data-science, eda, knn, knn-classification, machine-learning-algorithms, predict, project, python, scikit-learn, tableau
- Language: Jupyter Notebook
- Homepage:
- Size: 8.37 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Project_using_KNN
This project applies the K-Nearest Neighbors (KNN) algorithm to predict iPhone purchases based on customer data. Using features like age, salary, and previous purchase behavior, the KNN model classifies customers into buyers and non-buyers.