cs5165

Here are 4 public repositories matching this topic...

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

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

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Jupyter Notebook

AAlkiyumi / Project-2-AWS-EC2-Web-Application-with-Flask-and-SQLite

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This lab involves creating a Flask web app hosted on AWS EC2. It features user registration, login functionality, and data storage using SQLite. The app supports file uploads, user form submissions, and authentication. Apache with mod_wsgi is used to deploy the app, and SQL queries manage interactions with the database.

web-development sqlite-database database-management uc aws-ec2 sql-queries user-registration user-authentication cloud-hosting web-deployment university-of-cincinnati flask-web-app uc2026 cs5165 introduction-to-cloud-computing

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Python

AAlkiyumi / Project-3-Docker-Container-for-Data-Processing-Script

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This Dockerized Python application analyzes two text files (IF.txt and AlwaysRememberUsThisWay.txt). It counts total words, identifies the largest file, and finds the top three most frequent words in each. Results are saved to an output file and printed to the console.

docker data-science data-engineering statistical-analysis uc data-analysis text-processing university-of-cincinnati uc2026 cs5165 introduction-to-cloud-computing

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Python

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
Jupyter Notebook

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cs5165

Here are 4 public repositories matching this topic...

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

AAlkiyumi / Project-2-AWS-EC2-Web-Application-with-Flask-and-SQLite

AAlkiyumi / Project-3-Docker-Container-for-Data-Processing-Script

AAlkiyumi / Predicting-Hospital-Readmission-Risk

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