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In this big data project, you will learn how to process data using Spark and Hive as well as perform queries on Hive tables.
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Data Engineering Project to Build an ETL pipeline using technologies like dbt, Snowflake, and Airflow, ensuring seamless data extraction, transformation, and loading, with efficient monitoring through Slack and email notifications via SNS
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Use Spark , Grafana, and InfluxDB to build a real-time e-commerce users analytics dashboard by consuming different events such as user clicks, orders, demographics
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To understand cltv and the factors affecting cltv and to analyze various customer segments such as loyal, retained and churned.
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The objective of this project is to compare the performance of BERT and DistilBERT models for building an efficient Question and Answering system. Using A/B testing approach, we explore the effectiveness and efficiency of both models and determine which one is better suited for Q&A tasks.
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Use the Amazon Reviews/Ratings dataset of 2 Million records to build a recommender system using memory-based collaborative filtering in Python.
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