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Data Engineering – A Journal with Pragmatic Blueprint

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Data Engineering In recent days the consignment of data produced from innumerable sources is drastically increasing day-to-day. So, processing and storing of these data has also become highly strenuous.

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Top 9 Python Libraries for Data Engineers

Analytics Vidhya

Introduction Python is the favorite language for most data engineers due to its adaptability and abundance of libraries for various tasks such as manipulation, machine learning, and data visualization. This post looks at the top 9 Python libraries necessary for data engineers to have successful careers.

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Top 20 Data Engineering Project Ideas [With Source Code]

Analytics Vidhya

Data engineering plays a pivotal role in the vast data ecosystem by collecting, transforming, and delivering data essential for analytics, reporting, and machine learning. Aspiring data engineers often seek real-world projects to gain hands-on experience and showcase their expertise.

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Machine Learning Model Deployment using Django

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Pre-requisites Understanding of Machine Learning using Python (sklearn) Basics of Django. The post Machine Learning Model Deployment using Django appeared first on Analytics Vidhya.

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A Quick Overview of Data Engineering

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Machine learning and artificial intelligence, which are at the top of the list of data science capabilities, aren’t just buzzwords; many companies are keen to implement them.

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How to Implement Data Engineering in Practice?

Analytics Vidhya

Image Source: GitHub Table of Contents What is Data Engineering? Components of Data Engineering Object Storage Object Storage MinIO Install Object Storage MinIO Data Lake with Buckets Demo Data Lake Management Conclusion References What is Data Engineering?

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Dealing with Sparse Datasets in Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Missing data in machine learning is a type of data that contains null values, whereas Sparse data is a type of data that does not contain the actual values of features; it is a dataset containing a high amount of zero or […].