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In this spark project, we will continue building the data warehouse from the previous project Yelp Data Processing Using Spark And Hive Part 1 and will do further data processing to develop diverse data products.
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In this AWS Big Data Project, you will learn to perform Spark Transformations using a real-time currency ticker API and load the processed data to Athena using Glue Crawler.
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In this PySpark ETL Project, you will learn to build a data pipeline and perform ETL operations by integrating PySpark with Apache Kafka and AWS Redshift
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Deep Learning for Time Series Forecasting in Python -A Hands-On Approach to Build Deep Learning Models (MLP, CNN, LSTM, and a Hybrid Model CNN-LSTM) on Time Series Data.
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MLOps Project-Deploy Machine Learning Model to Production Python on AWS for Customer Churn Prediction
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To understand and build an offer recommendation system for telecom company
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