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ahmedmshazly /

Data_Visualization_Project_ALX-T_Udacity

PROJECT
coursework

Udacity DAND capstone: exploratory and explanatory analysis of 113,900 Prosper loans — what predicts on-time payoff.

Dug through 113,900 real loans to find which borrower traits predict paying on time — then turned it into a presentation.

  • HTML 70%
  • Jupyter Notebook 30%
languageHTMLcreatedNov 2022updatedNov 2022size22.8 MBlicenseView on GitHub ↗

Why this exists

The capstone of the Udacity Data Analyst Nanodegree (2022, taken alongside second-year CS): a full exploratory pass over the Prosper marketplace loan book, distilled into an explanatory slide deck. It's the project where pandas-based analysis stopped being an exercise and started answering a question end to end.

Start reading here

what I'd do differently now

Today I'd ship the 86 MB source CSV behind a download script instead of committing it, and split the notebook into staged steps — but the analysis itself still holds up.

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