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In this Big Data Project, you will learn to implement PySpark Partitioning Best Practices.
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Use Spark , Grafana, and InfluxDB to build a real-time e-commerce users analytics dashboard by consuming different events such as user clicks, orders, demographics
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In this Flask Project, you will use Flask APIs, Databricks, and Unity Catalog to build a secure data processing platform focusing on climate data. You will also explore advanced features like Docker containerization, data encryption, and detailed data lineage tracking.
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In this deep learning project, you will learn how to build a Generative Model using Autoencoders in PyTorch
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In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.
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In this deep learning project, you will learn to build an accurate, fast, and reliable real-time fruit detection system using the YOLOv4 object detection model for robotic harvesting platforms.
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