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In this big data project, you will use Hadoop, Flume, Spark and Hive to process the Web Server logs dataset to glean more insights on the log data.
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Build a Real-Time Streaming Data Pipeline for an application that monitors oil wells using Apache Spark, HBase and Apache Phoenix .
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The goal of this Spark project is to analyze business reviews from Yelp dataset and ingest the final output of data processing in Elastic Search.Also, use the visualisation tool in the ELK stack to visualize various kinds of ad-hoc reports from the data.
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In this LLM Project, you will learn how to enhance customer support interactions through Large Language Models (LLMs), enabling intelligent, context-aware responses. This Langchain project aims to seamlessly integrate LLM technology with databases, PDF knowledge bases, and audio processing agents to create a comprehensive customer support application.
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Use the RACE dataset to extract a dominant topic from each document and perform LDA topic modeling in python.
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To build a predictive model for churn in the Telecom industry with a feedback loop to help maintain the quality of results
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