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1. Predicting_User_Cancelation_with_Spark Predicting_User_Cancelation_with_Spark Public

   Data manipulation and Machine Learning with Spark to engineer relevant features for predicting which users will cancel their music streaming service.

   Jupyter Notebook 2

2. Recommendation-Engines-for-the-IBM-Watson-Studio-Platform Recommendation-Engines-for-the-IBM-Watson-Studio-Platform Public

   In this project, I built various recommendation engines, based on user behavior and social network for the IBM Watson Studio's data platform, to surface content most likely to be relevant to a user.

   Jupyter Notebook

3. Disaster-Response-Pipelines Disaster-Response-Pipelines Public

   A data pipeline to prepare message data from major natural disasters around the world with machine learning pipeline to categorize emergency messages based on the needs communicated by the sender.

   Jupyter Notebook

4. Differences-from-Top-Data-Scientists Differences-from-Top-Data-Scientists Public

   The tools you use, and the way you approach learning can have a significant correlation with how much you get paid for your work as a data scientist.

   Jupyter Notebook 2 1

5. tactos tactos Public

   Helping people get and deliver fast, personalized help

   JavaScript

6. WeaknessWork_prototype WeaknessWork_prototype Public

   Dart 1