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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 Flask Project, you will use Flask APIs, Databricks, and Unity Catalog to build a secure data processing platform focusing on climate data. You will also explore advanced features like Docker containerization, data encryption, and detailed data lineage tracking.
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This Project gives a detailed explanation of How Data Analytics can be used in the Retail Industry, using technologies like Sqoop, HDFS, and Hive.
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Recommender System Machine Learning Project for Beginners Part 2- Learn how to build a recommender system for market basket analysis using association rule mining.
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This Project Explains the Basic Text Preprocessing and How to Build a Classification Model in Python
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To build a predictive model for churn in the Telecom industry with a feedback loop to help maintain the quality of results
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