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jktrmo / repository
This repository contains finalized and working Jupyter Notebook files that encapsulate most of my work as an Analytics Intern with Stellar Solutions working for Space Systems Command.
Python: (via jupyter notebooks) I utilize numpy, pandas, scipy, matplotlib, and a UC Berkeley open source python package called "datascience" to manipulate data from satellite-info-dense catalogs, create visualizations, build metrics, construct predictive models, and analyze predictive error.
R Studio: used for dashboarding and building web applications in R Shiny
Selected from shared topics, language and repository description—not editorial ratings.
sakha1370 /
This repository contains materials and assignments from my Data Science journey on Coursera, including Jupyter Notebooks (.ipynb) with code, explanations, and visualizations, along with HTML/PDF exports summarizing key takeaways. It showcases my work on data manipulation, statistical analysis, machine learning, and data visualization techniques.