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  • Fine-tuning keras models

  • Building deep learning models with keras

  • Optimizing a neural network with backward propagation

  • Basics of deep learning and neural networks

  • High Level APIs

  • Neural Networks

  • Linear models

  • Introduction to TensorFlow

  • TF-IDF and similarity scores

  • N-Gram models

  • Text preprocessing, POS tagging and NER

  • Basic features and readability scores

  • Building a fake news classifier

  • Named-entity recognition

  • Simple topic identification