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  1. Demo: https://goo.gl/VGedco

    Jupyter Notebook

  2. A Node.js web app: playing around with Yelp dataset with machine learning algorithms XGBoost, Random Forest, Deep Learning (H2O), etc.

    JavaScript

  3. NYC Taxi Trip Data Visualization (Django)

    Python

  4. Movie Recommendation (1.download and preprocess the dataset; 2.put data onto the hadoop HDFS; 3. run Mahout Collaborative Filtering on Hadoop with MapReduce 4. Get top k movie list for Recommendation)

    Java 6 8

  5. A Node.js web app on Heroku

    Scala 1

  6. This project contains several spark examples, some of them are classic examples from the Internet, some of them are examples written by myself.

    Java

86 contributions in 2016

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Contribution activity

June - December 2016

faustineinsun had no activity during this period.

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