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The goal of this hadoop project is to apply some data engineering principles to Yelp Dataset in the areas of processing, storage, and retrieval.
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In this Big Data Project, you will learn to implement PySpark Partitioning Best Practices.
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In this AWS Big Data Project, you will learn to perform Spark Transformations using a real-time currency ticker API and load the processed data to Athena using Glue Crawler.
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In this Machine Learning Project, you will build a classification model for default prediction with LightGBM.
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Implement the Naive Bayes Algorithm to build a multi class text classification model in Python.
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In this NLP Project, you will learn how to build a multi-class text classification model using using the pre-trained BERT model.
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A comprehensive guide on LLama2 architecture, applications, fine-tuning, tokenization, and implementation in Python.
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