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The importance of social media has seen a huge growth in last few years as it lets folks from any part of the world remain in contact. Due to COVID-19 epidemic, social media is used extensively and has turned to be more pertinent than the past years. Alongside, fake news dissemination has revived and also dissemination of tweets has taken the attention. For the present study, we used various machine learning models to detect the fake news on COVID-19 related tweets. Due to millions of active social media users, identifying the fake news has become a crucial task. The models we applied are Gradient Boosting Classifier (GBC), Logistic Regression (LR), Random Forest Classifier (RFC), Decision Tree Classification (DT). All these models detect if the tweet relating to COVID-19 is “Fake News” or “Not a Fake News”. Hence we conclude that Logistic Regression is best among all other models.