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ormigi/README.md
  • 👋 I believe this is the best environment to learn more and develop my skills.
  • I will use this space to update my current projects/learning.
  • I would like to thank all who participated, through their own effort, to advancing my skills.

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  1. Spark - Parquet files Spark - Parquet files
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    # Spark - Parquet files
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    Basic file formats - such as CSV, JSON or other text formats - can be useful when exchanging data between applications. When it comes to storing intermediate data between steps of an application, Parquet can provide more advanced capabilities:
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    - Support for complex types, as opposed to string-based types (CSV) or a limited type system (JSON only supports strings, basic numbers, booleans).
  2. Silhouette-clustering- Silhouette-clustering- Public

    Forked from krishnaik06/Silhouette-clustering-

    Jupyter Notebook

  3. amazon-sagemaker-examples amazon-sagemaker-examples Public

    Forked from aws/amazon-sagemaker-examples

    Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

    Jupyter Notebook