This project performed data wrangling, analysis, visualization as well as machine learning prediction on a hypothetical music app's user churn with pyspark.
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Updated
Mar 22, 2022 - Jupyter Notebook
This project performed data wrangling, analysis, visualization as well as machine learning prediction on a hypothetical music app's user churn with pyspark.
Project based on application of azure databricks
NBA shot predictions with PySpark and SparkML
A repository concentrating on using High end parallel pipelines to perform ETL across various data sources
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