Filed under: Data & Machine Learning |
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Project Two
One-line tagline for this project. Replace with the real thing.
Project Two — screenshot goes here
Overview
Explain the data problem you tackled — what dataset, what question, what model, what result. Keep it approachable but include the numbers that matter.
A second paragraph on the interesting bits: preprocessing pitfalls, model choices, evaluation, and what you learned.
Details
| Role | Researcher / Engineer (edit) |
|---|---|
| Timeline | Fall 2024 — Winter 2025 (edit) |
| Tech stack | Python, PyTorch, pandas, scikit-learn (edit) |
| Dataset | Public / custom / scraped (edit) |
| Results | The headline metrics or findings (edit) |
| Links | Notebook | Source code | Paper / write-up |
Screenshots
Chart A
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Chart C