https://github.com/aditya-cyber007/detecting_fake_news-using-lr-gbc-dtc-

Fake news detection Demo Video
https://github.com/aditya-cyber007/detecting_fake_news-using-lr-gbc-dtc-

ipython-notebook python3 visual-studio-code

Last synced: about 1 month ago
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Fake news detection Demo Video

• Host: GitHub
• URL: https://github.com/aditya-cyber007/detecting_fake_news-using-lr-gbc-dtc-
• Owner: Aditya-cyber007
• License: apache-2.0
• Created: 2022-01-19T06:34:52.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2022-01-20T07:24:40.000Z (almost 3 years ago)
• Last Synced: 2024-11-13T06:41:23.582Z (about 1 month ago)
• Topics: ipython-notebook, python3, visual-studio-code
• Language: Jupyter Notebook
• Homepage: https://drive.google.com/drive/folders/1WbmpA2J2pDkPktYssCyqahOMi8gX45pQ?usp=sharing
• Size: 54.7 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Fake-News-Detection

datasets used : https://drive.google.com/drive/folders/19-4zJvP3VViGtnfEAqYX7xTFH1YhD9o6?usp=sharing

This is a machine learning model helps to find whether a news is real or fake.In this model I used Logistic Regression, Decision Tree Classification and Gradient Boosting Classifier to predict the news.

ScreenShots : 

![Screenshot (2)](https://user-images.githubusercontent.com/68942781/150292174-e48fe9de-715d-4d63-89d2-4320154c31f8.png)

![Screenshot (3)](https://user-images.githubusercontent.com/68942781/150292181-f75e3c35-04f4-4b13-8439-54f42014ad02.png)

![Screenshot (4)](https://user-images.githubusercontent.com/68942781/150292185-6dd50e05-a207-4a1d-85b1-949726cbd32f.png)

![Screenshot (5)](https://user-images.githubusercontent.com/68942781/150292190-156add6a-1272-44e5-992e-bf032b87759e.png)

![Screenshot (6)](https://user-images.githubusercontent.com/68942781/150292194-ee5009f0-212c-410e-ab8d-5cce6244e9a4.png)

![Screenshot (7)](https://user-images.githubusercontent.com/68942781/150292195-55b29f91-f04a-4949-b270-10010317d078.png)

![Screenshot (8)](https://user-images.githubusercontent.com/68942781/150292197-c98ff918-53ef-44dc-8965-1af9643e85b4.png)

![Screenshot (9)](https://user-images.githubusercontent.com/68942781/150292200-89090eb7-68d4-4213-9b72-e1a3eeb6cc01.png)

![Screenshot (10)](https://user-images.githubusercontent.com/68942781/150292202-cb4999f7-00f4-4a53-b229-750fbaf7d582.png)

![Screenshot (11)](https://user-images.githubusercontent.com/68942781/150292204-d8d93632-9dc8-40b2-b75b-aaa6ffca33e0.png)

![Screenshot (12)](https://user-images.githubusercontent.com/68942781/150292208-b8d00663-5612-45cd-b932-de4f9698189a.png)

![Screenshot (13)](https://user-images.githubusercontent.com/68942781/150292210-9fbdf2eb-e645-40e3-97a9-476c1af42af9.png)

![Screenshot (14)](https://user-images.githubusercontent.com/68942781/150292213-0fc00b82-3154-4356-b8d0-67a4267f92ae.png)