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  1. A simple tool to help building stacking models.

    Python 2

  2. Using word embedding and LSTM to train a Neural Network to generate text mimicking style of the training text

    Jupyter Notebook 7 1

  3. This example demonstrate how to use classical tree base model to do classification prediction of an imbalance data like predicting a default for loan/credit.

    Jupyter Notebook

  4. demo using FuzzyWuzzy matching company names

    Jupyter Notebook 17 7

  5. Using Terraform to launch coursera-aml-docker to GCP

    Shell 3

  6. NLP project N-gram model word suggestion

    R

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