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spark-structured-streaming

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This repository includes supervised and unsupervised machine learning methods which are used to detect anomalies on network datasets. Decision Tree, Random Forest, Gradient Boost Tree, Naive Bayes, and Logistic Regression were used for supervised learning. K-Means was used for unsupervised learning.

  • Updated Jun 24, 2019
  • Jupyter Notebook

Get Twitter trends with twitter4j, stream it to a Kafka topic, save it to MongoDB and visualize in Google Maps

  • Updated Sep 30, 2021
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