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housing-price-regression/ Predicts King County house prices from 21 features: size, grade, location, waterfront status. Five regression variants (simple linear, multiple linear, polynomial, Ridge, Ridge plus polynomial), all scored the same way on a held-out test set so the comparison means something.

ecommerce-sales-eda/ Breaks down where a retailer makes money and where it doesn't, by month, category, sub-category, and customer segment, using the Superstore dataset.

Setup

pip install -r requirements.txt

Neither dataset ships with this repo. Each project's own README explains why, and how to get it. Both notebooks still run out of the box against small bundled samples, so you can see the pipeline work before chasing down the real data.

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