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  | Features Used | 7 | 43 | +36 |
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  ## 👤 Author
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  **David Wilfand**
 
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  | Features Used | 7 | 43 | +36 |
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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**