https://github.com/virajbhutada/article-recommendation-system

This project aims to redefine content discovery by delivering personalized article recommendations tailored to individual user preferences. We use advanced machine learning techniques like PCA and K-means clustering to analyze user behavior and article characteristics to provide highly accurate recommendations.
https://github.com/virajbhutada/article-recommendation-system

anaconda article-recommendation clustering-algorithm data-analysis data-science keras-tensorflow machine-learning machine-learning-algorithms ml-models numpy pandas plotly python scikit-learn scipy

Last synced: about 1 month ago
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This project aims to redefine content discovery by delivering personalized article recommendations tailored to individual user preferences. We use advanced machine learning techniques like PCA and K-means clustering to analyze user behavior and article characteristics to provide highly accurate recommendations.

• Host: GitHub
• URL: https://github.com/virajbhutada/article-recommendation-system
• Owner: virajbhutada
• Created: 2024-06-03T04:32:56.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-10-06T04:34:41.000Z (3 months ago)
• Last Synced: 2024-12-06T08:04:26.880Z (about 1 month ago)
• Topics: anaconda, article-recommendation, clustering-algorithm, data-analysis, data-science, keras-tensorflow, machine-learning, machine-learning-algorithms, ml-models, numpy, pandas, plotly, python, scikit-learn, scipy
• Language: Jupyter Notebook
• Homepage: https://github.com/virajbhutada/Article-Clustered-Recommendation-System-ML/blob/main/ipynb/article_recommender_system_pca.ipynb
• Size: 24.8 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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