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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.
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Developed the Logistic Regression Machine Learning Model which can detect fake news from various articles as accurately as possible over the US Elections Dataset which is available on Kaggle along with various NLP Techniques such as Stemming, Lemmatization, BagOfWords/CountVectorizer and TF-IDF.
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arjuns007/FakeNewsClassifier-NLP
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Developed the Logistic Regression Machine Learning Model which can detect fake news from various articles as accurately as possible over the US Elections Dataset which is available on Kaggle along with various NLP Techniques such as Stemming, Lemmatization, BagOfWords/CountVectorizer and TF-IDF.
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