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In this AWS Project, you will build an end-to-end log analytics solution to collect, ingest and process data. The processed data can be analysed to monitor the health of production systems on AWS.
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In this PySpark project, you will learn about fundamental Spark architectural concepts like Spark Sessions, Transformation, Actions, and Optimization Techniques using PySpark
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In this GCP Project, you will learn to build a data processing pipeline With Apache Beam, Dataflow & BigQuery on GCP using Yelp Dataset.
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In this project, we are going to talk about insurance forecast by using linear and xgboost regression techniques.
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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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Credit Card Fraud Detection Project - Build an Isolation Forest Model and Local Outlier Factor (LOF) in Python to identify fraudulent credit card transactions.
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