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  1. Demo:

    Jupyter Notebook

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


  3. NYC Taxi Trip Data Visualization (Django)


  4. Movie Recommendation ( 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.


86 contributions in 2016

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Mon Wed Fri

Contribution activity

June - December 2016

faustineinsun had no activity during this period.

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