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Learn using GCP BigQuery for exploring and preparing data for analysis and transformation of your datasets.
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In this Big Data Project, you will learn to implement PySpark Partitioning Best Practices.
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In this GCP Project, you will learn to build a data processing pipeline With Apache Beam, Dataflow & BigQuery on GCP using Yelp Dataset.
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In this MLOps Azure project, you will learn how to deploy a classification machine learning model to predict the customer's license status on Azure through scalable CI/CD ML pipelines.
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Develop a customer churn prediction model using decision tree machine learning algorithms and data science on streaming service data.
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Learn to implement deep neural networks in Python .
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Feature Scaling in Machine Learning: The What, When, and Why
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