## “ 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](https://www.kaggle.com/c/fake-news/data?select=train.csv) ## 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 ## “ Futher changes to be done - [ ] Create a real time Web app using Streamlit. ## 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: ```sh https://github.com/naveeramesh/Fake-News-Prediction.git ```