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Build an end-to-end stream processing pipeline using Azure Stream Analytics for real time cab service monitoring
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Azure Data Factory and Databricks End-to-End Project to implement analytics on trip transaction data using Azure Services such as Data Factory, ADLS Gen2, and Databricks, with a focus on data transformation and pipeline resiliency.
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In this big data project, you will use Hadoop, Flume, Spark and Hive to process the Web Server logs dataset to glean more insights on the log data.
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28 Projects
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In this deep learning project, you will find similar images (lookalikes) using deep learning and locality sensitive hashing to find customers who are most likely to click on an ad.
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Loan Default Prediction Project that employs sophisticated machine learning models, such as XGBoost and Random Forest and delves deep into the realm of Explainable AI, ensuring every prediction is transparent and understandable.
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MLOps on AWS SageMaker -Learn to Build an End-to-End Classification Model on SageMaker to predict a patient’s cause of death.
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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.
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