https://github.com/somenath203/clustering-news-unsupervised-machine-learning
Click the link below to checkout the swagger docs of the project
https://github.com/somenath203/clustering-news-unsupervised-machine-learning
agglomerative-clustering cluster fake-news-detection kmeans kmedoids machine-learning news render unsupervised-machine-learning
Last synced: 3 months ago
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Click the link below to checkout the swagger docs of the project
- Host: GitHub
- URL: https://github.com/somenath203/clustering-news-unsupervised-machine-learning
- Owner: somenath203
- Created: 2023-11-01T20:53:06.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-11-23T02:21:50.000Z (over 1 year ago)
- Last Synced: 2025-01-20T20:51:14.966Z (5 months ago)
- Topics: agglomerative-clustering, cluster, fake-news-detection, kmeans, kmedoids, machine-learning, news, render, unsupervised-machine-learning
- Language: Jupyter Notebook
- Homepage: https://fake-news-pred.onrender.com/docs
- Size: 3.12 MB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- Changelog: news_clustering_unsupervised_ml.ipynb
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README
# Clustering-News-Unsupervised-Machine-Learning
This is a machine learning project which uses unsupervised machine learning algorithms such as k-means, k-medoids and agglomerative hierarchical clustering to group news articles into clusters based on their respective characteristics.
### Link to deployed API of the machine learning model:
https://fake-news-pred.onrender.com/
### Link to Swagger Documentation of the ml model:
https://fake-news-pred.onrender.com/docs
### About the dataset used in this project
The dataset used in this project is named LIAR. To know more about the dataset, click here: https://github.com/tfs4/liar_dataset