ibm-biginsights

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snowch / movie-recommender-demo
This project walks through how you can create recommendations using Apache Spark machine learning. There are a number of jupyter notebooks that you can run on IBM Data Science Experience, and there a live demo of a movie recommendation web application you can interact with. The demo also uses IBM Message Hub (kafka) to push application events to topic where they are consumed by a spark streaming job running on IBM BigInsights (hadoop).
cloudant python-flask-application spark spark-streaming hadoop kafka messagehub dsx notebook machine-learning alternating-least-squares bluemix redis collaborative-filtering biginsights ibm-bluemix bokeh hive ibm-biginsights jupyter-notebook
Language:Jupyter Notebook 101

snowch / movie-recommender-demo