Task type: classification
Models used: XGBoost, PyCaret, CatBoost, LinearSVC, MultinomialNB
Tools used: NLP preprocessing tools, supervised learning technique, feature engineering & Word Cloud
fake news classification (detection) project using XGBoost + MultinomialNB + Pycaret + CatBoost | NLP + Feature Engineering + Word Cloud
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VivanVatsa/fake-filter_machinelearning_project
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fake news classification (detection) project using XGBoost + MultinomialNB + Pycaret + CatBoost | NLP + Feature Engineering + Word Cloud
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