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In this ETL Project, you will learn build an ETL Pipeline on Amazon EMR with AWS CDK and Apache Hive. You'll deploy the pipeline using S3, Cloud9, and EMR, and then use Power BI to create dynamic visualizations of your transformed data.
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Learn using GCP BigQuery for exploring and preparing data for analysis and transformation of your datasets.
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In this Kubernetes Big Data Project, you will automate and deploy an application using Docker, Google Kubernetes Engine (GKE), and Google Cloud Functions.
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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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In this deep learning project, you will learn how to perform various operations on the building block of PyTorch : Tensors.
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Build your own image similarity application using Python to search and find images of products that are similar to any given product. You will implement the K-Nearest Neighbor algorithm to find products with maximum similarity.
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