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In this big data project, you will use Hadoop, Flume, Spark and Hive to process the Web Server logs dataset to glean more insights on the log data.
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In this Big Data Project, you will learn to implement PySpark Partitioning Best Practices.
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In this SQL project, you will learn to perform various data wrangling activities on an ecommerce database.
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Build and deploy ARCH and GARCH time series forecasting models in Python on AWS .
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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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Learn to implement various ensemble techniques to predict license status for a given business.
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