https://github.com/wahidpanda/fake-news-detection-ml-project
Using Various ML/DL models to detect the fake news.
https://github.com/wahidpanda/fake-news-detection-ml-project
classification-algorithm dl-models fake-news fake-news-classification fake-news-detection fake-news-machine-learning highest-accuracy machine-learning-algorithms machine-learning-projects ml-models trending
Last synced: about 2 months ago
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Using Various ML/DL models to detect the fake news.
- Host: GitHub
- URL: https://github.com/wahidpanda/fake-news-detection-ml-project
- Owner: wahidpanda
- Created: 2023-12-26T04:59:18.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2023-12-26T05:12:24.000Z (almost 2 years ago)
- Last Synced: 2025-03-15T05:26:41.132Z (7 months ago)
- Topics: classification-algorithm, dl-models, fake-news, fake-news-classification, fake-news-detection, fake-news-machine-learning, highest-accuracy, machine-learning-algorithms, machine-learning-projects, ml-models, trending
- Language: Jupyter Notebook
- Homepage:
- Size: 10.7 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Fake-News-Detection-ML-Project
Using Various ML/DL models to detect the fake news.
Model used:
1. LogisticRegression
2. SVM
3. DecisionTreeClassifier
4. RandomForestClassifier
5. XGBoost classifier
6. Gradient Boosting Classifier
7. CatBoost Classifier
8. ANN
9. RNN
10. LSTM
**If you iterate XGBoost classifier you will get 100% accuracy **