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  1. Julia implementation of Decision Tree (CART) and Random Forest algorithms

    Julia 210 73

  2. Churn Prediction with PySpark using MLlib and ML Packages

    Jupyter Notebook 41 50

  3. Databricks notebooks covering data engineering and data science workloads

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  4. Forked from dem108/Awesome-Azure-Advanced-Analytics

    Awesome big data and advanced analytics resources for the Microsoft Azure Cloud

    10 12

  5. A walk-through of data science basics using PySpark, MLflow and the Titanic dataset

    Python 9 8

  6. Presentation on Data Science with Julia

    Julia 8 1

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