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In this big data project, you will learn how to process data using Spark and Hive as well as perform queries on Hive tables.
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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 PySpark project, you will simulate a complex real-world data pipeline based on messaging. This project is deployed using the following tech stack - NiFi, PySpark, Hive, HDFS, Kafka, Airflow, Tableau and AWS QuickSight.
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MLOps Project-Deploy Machine Learning Model to Production Python on AWS for Customer Churn Prediction
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In this machine learning project, we will use binary leaf images and extracted features, including shape, margin, and texture to accurately identify plant species using different benchmark classification techniques.
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In this Machine Learning Project, you will learn to implement the UNet Architecture and build an Image Segmentation Model using Amazon SageMaker
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Evolution of Data Science: From SAS to LLMs
Explore the evolution of data science from early SAS to cutting-edge LLMs and discover industry-transforming use cases with insights from an industry expert.
A comprehensive guide on LLama2 architecture, applications, fine-tuning, tokenization, and implementation in Python.
Data Science vs Data Engineering:Choosing Your Career Path
Data Science vs Data Engineering-Learn key differences, and career tips to seamlessly transition from data engineer to data scientist with ProjectPro
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