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PARIMA is a viewport adaptive 360-degree video streaming algorithm that takes into account the prime object trajectories as well as the head movement logs to predict the future viewports accurately
Detect Real or Fake News. To build a model to accurately classify a piece of news as REAL or FAKE. Using sklearn, build a TfidfVectorizer on the provided dataset. Then, initialize a PassiveAggressive Classifier and fit the model. In the end, the accuracy score and the confusion matrix tell us how well our model fares.