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mongodb-atlas

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The Frequent Dataset Mining project offers a comprehensive solution for mining frequent itemsets from the extensive Amazon dataset using Apache Kafka. Leveraging the power of distributed computing, this project employs two powerful algorithms, Apriori and PCY, to efficiently process and analyze large volumes of data.

  • Updated May 31, 2024
  • Python

The YouTube Data Harvesting and Warehousing project is a robust solution for extracting, storing, and analyzing data from YouTube channels. Leveraging the Google API, this project enables users to seamlessly collect, secure, and migrate data within a user-friendly Streamlit application.

  • Updated Nov 13, 2023
  • Python

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