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In this Big Data Project, you will learn to implement PySpark Partitioning Best Practices.
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In this PySpark Project, you will learn to implement pyspark classification and clustering model examples using Spark MLlib.
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In this PySpark ETL Project, you will learn to build a data pipeline and perform ETL operations by integrating PySpark with Apache Kafka and AWS Redshift
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In this GAN Deep Learning Project, you will learn how to build an image to image translation model in PyTorch with Cycle GAN.
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MLOps on GCP - Solved end-to-end MLOps Project to deploy a Mask RCNN Model for Image Segmentation as a Web Application using uWSGI Flask, Docker, and TensorFlow.
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In this NLP Project, you will learn to build a multi class text classification model with attention mechanism.
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