The purpose of this project is to detect fake news headlines that are circulated on social medias and have created a bias amongst people for a specific group usually political . News contain headline, author and its body which are not enough to find out if the news is fake or real but on a labeled data set that have already determined which news is real and which one is fake can be used to train and help detect fake news .To actually get results the categorical data can be explicitly divided into Fake and real or false and true to select feature and classify to generate a final model that can detect fake news. The result of the analysis can be used to detect fake news with its probability of being true or false based on classifier (logistic regression and Linear SVM) from sklearn and train lots of data to produce more accurate result in the future in the field of fake news detection.