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  • Pittsburgh

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  1. Question-Answering-System-with-SQuAD-dataset Question-Answering-System-with-SQuAD-dataset Public

    Build a question answering system over the SQuAD dataset by applying various machine learning techniques over the dataset.

    Jupyter Notebook 5 2

  2. Amazon-Review-Rating-Prediction Amazon-Review-Rating-Prediction Public

    The objective is to build an end-to-end Machine Learning model that predicts review ratings based on review contents and metadata.

    Jupyter Notebook

  3. Image-Classification-using-Convolutional-Neural-Network-and-Logistic-Regression Image-Classification-using-Convolutional-Neural-Network-and-Logistic-Regression Public

    Image Classification with Machine Learning Alogirthms deployed on Azure ML Studio

    Jupyter Notebook

  4. Social-Media-Influence-on-Crpto-Space Social-Media-Influence-on-Crpto-Space Public

    The goal behind the study is to assess how social influence impacts the crypto market and other ancillary markets focused on blockchain-based assets (ex NFTs).

    Jupyter Notebook

  5. Recurrent-Neural-Network-based-Sentiment-Classification Recurrent-Neural-Network-based-Sentiment-Classification Public

    Sentiment analysis with RNN and BERT embedding

    Python 1

  6. Tweet-Emotion-Classification Tweet-Emotion-Classification Public

    Tweet Emotion Classification using Natural Language Processing (RNN) in TensorFlow

    Jupyter Notebook