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In this GCP project, you will learn to build and deploy a fully-managed(serverless) event-driven data pipeline on GCP using services like Cloud Composer, Google Cloud Storage (GCS), Pub-Sub, Cloud Functions, BigQuery, BigTable
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In this AWS Project, you will learn how to perform batch processing on Wikipedia data with PySpark on AWS EMR.
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In this Microsoft Azure Data Engineering Project, you will learn how to build a data pipeline using Azure Synapse Analytics, Azure Storage and Azure Synapse SQL pool to perform data analysis on the 2021 Olympics dataset.
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In this Deep Learning Project, you will use the customer complaints data about consumer financial products to build multi-class text classification models using RNN and LSTM.
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In this time series project, you will learn to build Autoregressive and Moving Average Time Series Models to forecast future readings, optimize performance, and harness the power of predictive analytics for sensor data.
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In this NLP Project, you will learn how to use the popular topic modelling library Gensim for implementing two state-of-the-art word embedding methods Word2Vec and FastText models.
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