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---
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## 👤 Author
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**David Wilfand**
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---
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---
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## 🤖 Tools & Methodology
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### Use of AI Assistance
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This project was completed with the assistance of **Claude (Anthropic)** as a coding and learning partner.
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**Why I used Claude:**
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- To understand best practices for structuring a machine learning pipeline
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- To learn proper implementation of sklearn models and evaluation metrics
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- To get explanations of concepts like feature engineering, clustering, and model evaluation
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- To debug code and understand error messages
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- To ensure consistent documentation and code commenting
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**What I learned through this process:**
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- The importance of establishing baselines before optimization
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- How feature engineering can dramatically improve model performance
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- The difference between regression and classification evaluation metrics
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- How to interpret clustering results and use them as features
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- Best practices for presenting data science work
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All code was executed, tested, and validated by me in Google Colab. The final analysis, interpretations, and conclusions are my own understanding of the results.
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---
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## 👤 Author
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**David Wilfand**
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