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precipitation-analysis

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AAlkiyumi / Project-4-Big-Data-Analysis-with-PySpark-on-Weather-Data

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In this project, I analyzed weather data from the NCEI Global Surface Summary of Day dataset using PySpark in Jupyter Notebook. Tasks included data cleaning, statistical analysis, and forecasting for temperature, wind speed, precipitation, and extreme weather events. The project also predicts future weather patterns for Cincinnati and Florida.

data-science machine-learning jupyter-notebook pyspark data-engineering statistical-analysis uc data-analysis predictive-modeling data-cleaning big-data-analytics time-series-forecasting university-of-cincinnati precipitation-analysis temperature-forecasting wind-speed-data uc2026 cs5165 introduction-to-cloud-computing
  • Updated Nov 12, 2024
  • Jupyter Notebook

AAlkiyumi / Predicting-Hospital-Readmission-Risk

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This project aims to create a predictive model that forecasts the likelihood of a patient being readmitted to the hospital within 30 days of discharge.

data-science machine-learning jupyter-notebook pyspark data-engineering statistical-analysis uc data-analysis predictive-modeling data-cleaning big-data-analytics university-of-cincinnati precipitation-analysis uc2026 cs5165 introduction-to-cloud-computing
  • Updated Dec 25, 2024
  • Jupyter Notebook

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