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Scikit-learn is supported but Kaggle does not support notebooks. 2. Cloud AI 2x ML - Used by the Kaggle Competitions. These notebooks have the necessary components to run the TensorFlow, Google Colab, and AWS Deep Learning services. 3. Google Colab - The Google Cloud AI platform is a free platform that provides the tools to develop, train, and deploy machine learning models for cloud users. The interface is based on the Google Colaboratory. Colab is an interactive notebook that allows users to execute code from a local repository, and execute the resulting computation directly in a web browser. 4. AWS Deep Learning - AWS offers computing and storage resources for running machine learning and deep learning on a wide range of services including Elastic Compute Cloud (EC2), Elastic Container Service (ECS), Amazon SageMaker, Amazon Elastic AI, Amazon Fargate, and Amazon Compute Cloud (Auto Scaling). 4. AWS Data Science - A fully managed cloud service to run analytics, machine learning, and business intelligence on a range of popular data sources and products, including Amazon Redshift, Amazon EMR, Amazon Kinesis, Amazon Athena, Amazon SageMaker, Amazon S3, and Amazon Polly. 5. Microsoft Azure Notebooks - Microsoft Azure Notebooks are a set of notebooks designed to be easy to use, flexible, and fully customizable. A Microsoft Azure Notebook runs on Microsoft’s Azure Notebooks platform and can be run directly from a local machine. 6. Google Colab 7. Jupyter Notebooks - Jupyter Notebooks, also referred to as IPython Notebooks, is an open source software environment that allows users to create, run, share, and analyze code, or data. The system is





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