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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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Learn using GCP BigQuery for exploring and preparing data for analysis and transformation of your datasets.
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In this ETL Project, you will learn build an ETL Pipeline on Amazon EMR with AWS CDK and Apache Hive. You'll deploy the pipeline using S3, Cloud9, and EMR, and then use Power BI to create dynamic visualizations of your transformed data.
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In this time series project, you will learn to build Autoregressive and Moving Average Time Series Models to forecast future readings, optimize performance, and harness the power of predictive analytics for sensor data.
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In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.
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Loan Default Prediction Project that employs sophisticated machine learning models, such as XGBoost and Random Forest and delves deep into the realm of Explainable AI, ensuring every prediction is transparent and understandable.
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