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Worked on this project with an aim to build a model which can detect fake news from various articles as accurately as possible over the US Elections Dataset which is available on Kaggle.
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Developed the Logistic Regression Machine Learning Model along with various NLP Techniques such as Stemming, Lemmatization, BagOfWords/CountVectorizer and TF-IDF.
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Achieved an accuracy of 98% with the Logistic Regression model on the test set.
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Developed the deployment pipeline and also deployed the model to the web with the help of flask.