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In this hive project, you will design a data warehouse for e-commerce application to perform Hive analytics on Sales and Customer Demographics data using big data tools such as Sqoop, Spark, and HDFS.
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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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Time Series Project - A hands-on approach to Gaussian Processes for Time Series Modelling in Python
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In this ensemble machine learning project, we will predict what kind of claims an insurance company will get. This is implemented in python using ensemble machine learning algorithms.
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To understand cltv and the factors affecting cltv and to analyze various customer segments such as loyal, retained and churned.
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