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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 build a data pipeline Apache NiFi, Apache Spark, AWS S3, Amazon EMR cluster, Amazon OpenSearch, Logstash and Kibana.
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In this SQL Project for Data Analysis, you will learn to analyse data using various SQL functions like ROW_NUMBER, RANK, DENSE_RANK, SUBSTR, INSTR, COALESCE and NVL.
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In this machine learning project, we will use binary leaf images and extracted features, including shape, margin, and texture to accurately identify plant species using different benchmark classification techniques.
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Content Based Recommender System Project - Building a Content-Based Product Recommender App with Streamlit
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In this Machine Learning project, you will build a classification model in python to classify the reviews of an app on a scale of 1 to 5 using Gated Recurrent Unit.
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