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  1. Build N-Gram FeedForward Logistic Neural Text Representation model for based on Brown corpus sentences

    Python

  2. Build KMeans Model based on the TD-IDF Embedding for Label sentences, label on the 20NewsGroups data

    Python

  3. Building the KNeighborsClassifier model to predict the class for a certain 2D point, trained on the Fake Generated Data

    Python

  4. Simple Character Recurrent-NeuralNetwork

  5. Build Multinomial Naive Bayes Model based on the TD-IDF Embedding for topic modeling, trained on the 20NewsGroups data

    Python

  6. Build Bi-Gram Text Representation model for Bayes-Markov Inference based on Brown corpus sentences

    Python

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June 2020

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