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This big data project focuses on solving the small file problem to optimize data processing efficiency by leveraging Apache Hadoop and Spark within AWS EMR by implementing and demonstrating effective techniques for handling large numbers of small files.
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In this big data project on AWS, you will learn how to run an Apache Flink Python application for a real-time streaming platform using Amazon Kinesis.
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Use the dataset on aviation for analytics to simulate a complex real-world big data pipeline based on messaging with AWS Quicksight, Druid, NiFi, Kafka, and Hive.
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In this deep learning project, you will learn how to build your custom OCR (optical character recognition) from scratch by using Google Tesseract and YOLO to read the text from any images.
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In this AWS MLOps project, you will learn how to deploy a classification model using Flask on AWS.
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Skip-Gram Model word2vec Example -Learn how to implement the skip gram algorithm in NLP for word embeddings on a set of documents.
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Feature Scaling in Machine Learning: The What, When, and Why
Enhance your knowledge of feature scaling in machine learning to refine algorithms, learn to use Python to implement feature scaling, and much more!
Learning Optimizers in Deep Learning Made Simple
Understand the basics of optimizers in deep learning for building efficient algorithms.
Generative AI Application Landscape: All That You Need to Know
Explore the Generative AI Application Landscape with industry expert Rajdeep Arora to explore insights on its evolution, challenges, and prospects | ProjectPro
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