Skip to content

Developed a machine learning model to detect fake news using Python. Utilized TF-IDF for feature extraction and trained models like Logistic Regression and SVM. Achieved high accuracy in distinguishing fake news from real news, enhancing media monitoring, content verification, and combating misinformation.

Notifications You must be signed in to change notification settings

hindav/Fake-news-detection-using-ML-python-

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 

Repository files navigation

Fake-news-detection-using-ML-python-

Developed a machine learning model to detect fake news using Python. Utilized TF-IDF for feature extraction and trained models like Logistic Regression and SVM. Achieved high accuracy in distinguishing fake news from real news, enhancing media monitoring, content verification, and combating misinformation.

to use this project use google colab && store the files in drive

And for dataset use "https://www.kaggle.com/datasets/clmentbisaillon/fake-and-real-news-dataset" this link

About

Developed a machine learning model to detect fake news using Python. Utilized TF-IDF for feature extraction and trained models like Logistic Regression and SVM. Achieved high accuracy in distinguishing fake news from real news, enhancing media monitoring, content verification, and combating misinformation.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published