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  • High Level APIs

  • Neural Networks

  • Linear models

  • Introduction to TensorFlow

  • Basic features and readability scores

  • N-Gram models

  • TF-IDF and similarity scores

  • Text preprocessing, POS tagging and NER

  • Named-entity recognition

  • Building a fake news classifier

  • Simple topic identification

  • Regular expressions and word tokenization

  • Selecting the best model with Hyperparameter tuning.

  • Cross Validation

  • Validation Basics