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Predicting the fake news and real news using Logistic Regression πŸ—žοΈπŸ“‘

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Predicting Fake News πŸ“‘πŸ—žοΈ

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πŸ“Œ Introduction

This Machine Learning Algorithm (Logistic Regression) is a Supervised Machine Learning Algorithm, which takes the input data and predict the output, with nearly 97% accuracy. The Dataset

🎯 Purpose of the Project

When there are many news articles present in the social world,the people could'nt find which news is real and fake. On that basis my model perfoms accurately with 97% of accuracy to predict the Fake and real news

πŸ“ Futher changes to be done

  • Create a real time Web app using Streamlit.

πŸƒβ€β™‚οΈ Local Installation

  1. Drop a ⭐ on the Github Repository.
  2. Fork the repository
  3. Clone the Repo by going to your local Git Client and pushing in the command:
https://github.com/naveeramesh/Fake-News-Prediction.git

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Predicting the fake news and real news using Logistic Regression πŸ—žοΈπŸ“‘

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