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In this GCP Project, you will learn to build a data pipeline using Apache Beam Python on Google Dataflow.
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The goal of this Spark project is to analyze business reviews from Yelp dataset and ingest the final output of data processing in Elastic Search.Also, use the visualisation tool in the ELK stack to visualize various kinds of ad-hoc reports from the data.
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In this big data project on AWS, you will learn how to run an Apache Flink Python application for a real-time streaming platform using Amazon Kinesis.
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In this Deep Learning Project, you will learn how to optimally tune the hyperparameters (learning rate, epochs, dropout, early stopping) of a neural network model in PyTorch to improve model performance.
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Implement a machine learning approach using various classification techniques in Python to examine the digitalisation process of bank customers.
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In this data science project, you will learn how to perform market basket analysis with the application of Apriori and FP growth algorithms based on the concept of association rule learning.
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