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Dog Breed Prediction in Zurich (CU Boulder MS-DS DTSA-5510)

Problem Description

This project aims to identify factors influencing dog breed choices among owners in Zurich, Switzerland, considering both dog characteristics (size, appearance, etc.) and owners' characteristics. The task is approached as a classification problem, using logistic regression and random forest models for comparison.

Data Source

The data is sourced from the City of Zurich's open data portal, collected by Identitas, and contains information about dog owners (age, gender, location) and their dogs (breed, age, color, mixed-breed indicators).

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