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In this PySpark Project, you will learn to implement pyspark classification and clustering model examples using Spark MLlib.
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In this hive project, you will design a data warehouse for e-commerce application to perform Hive analytics on Sales and Customer Demographics data using big data tools such as Sqoop, Spark, and HDFS.
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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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In this Classification Machine Learning Project, you will build a multi-level classification model to predict churn category and reason in the telecom industry, enabling proactive measures to reduce customer churn and enhance retention.
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In this MLOps SBERT project you will learn to build and deploy an accurate and scalable search algorithm on AWS using SBERT and ANNOY to enhance search relevancy in news articles.
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In this MLOps Azure project, you will learn how to deploy a classification machine learning model to predict the customer's license status on Azure through scalable CI/CD ML pipelines.
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