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This big data project focuses on solving the small file problem to optimize data processing efficiency by leveraging Apache Hadoop and Spark within AWS EMR by implementing and demonstrating effective techniques for handling large numbers of small files.
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In this PySpark project, you will learn about fundamental Spark architectural concepts like Spark Sessions, Transformation, Actions, and Optimization Techniques using PySpark
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Hive Practice Example - Explore hive usage efficiently for data transformation and processing in this big data project using Azure VM.
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In this AWS MLOps project, you will learn how to deploy a classification model using Flask on AWS.
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Loan Eligibility Prediction Project - Use SQL and Python to build a predictive model on GCP to determine whether an application requesting loan is eligible or not.
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In this machine learning regression project, you will learn to build NumPy Regression Models (Linear Regression, Ridge Regression, Lasso Regression) from Scratch.
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