https://github.com/shruthin4/news-articles-classification
Classifying News Articles using Machine Learning and NLP techniques.. Built an end-to-end text classification pipeline using TF-IDF vectorization and models like Logistic Regression and SVM. Includes exploratory data analysis, model evaluation, and deployment-ready artifacts.
https://github.com/shruthin4/news-articles-classification
data-analysis data-science logistic-regression machine-learning model news-classification nlp python scikit-learn svm tf-idf-vectorization
Last synced: 2 months ago
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Classifying News Articles using Machine Learning and NLP techniques.. Built an end-to-end text classification pipeline using TF-IDF vectorization and models like Logistic Regression and SVM. Includes exploratory data analysis, model evaluation, and deployment-ready artifacts.
- Host: GitHub
- URL: https://github.com/shruthin4/news-articles-classification
- Owner: shruthin4
- Created: 2025-03-20T20:05:20.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2025-03-20T20:15:20.000Z (over 1 year ago)
- Last Synced: 2025-03-20T21:48:18.668Z (over 1 year ago)
- Topics: data-analysis, data-science, logistic-regression, machine-learning, model, news-classification, nlp, python, scikit-learn, svm, tf-idf-vectorization
- Language: Jupyter Notebook
- Homepage:
- Size: 2.93 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0