Convert a King County, WA street address to its 10-digit parcel number (PIN). Agent-friendly: --pipe, --schema, tool.json.
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Updated
Jul 20, 2026 - Python
Convert a King County, WA street address to its 10-digit parcel number (PIN). Agent-friendly: --pipe, --schema, tool.json.
A data analytics project for exploring housing prices in King County, WA. Compare city and countryside properties with an interactive app and gain detailed insights into real estate market trends.
King County, WA civic data tools for pydantic-ai agents. No API keys required. Agent-friendly: --pipe, --schema, tool.json.
Look up building permit status for King County, WA — searches across city + county jurisdictions. Agent-friendly: --pipe, --schema, tool.json.
Command-line access to King County food facility ratings, inspection history, violations, geocoding, and raw ArcGIS feature-layer queries.
This repository includes my House Prices Multi-Variate Linear Regression-Flatiron School Module 2 Project. In this project I made use of the OSEMN methodology incorporating packages such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-Learn.
This project looks at the housing data for King County, Washington. I created a predictive model that accurately predicts houses within the lower 75% price bracket to an accuracy of 92%.
Best place to live in King County
Specialized integration for King County, Washington geospatial services with county-specific parcel data and property information
This repository contains a linear regression model to predict the price of a home in King County, Washington.
Predicting house prices using different regression analysis models.
Linear Regression predicting King County Housing Data Modeling
Exploratory data analysis and predictive modeling on King County house sales data using Python, pandas, NumPy, seaborn, matplotlib, and scikit-learn.
Developing a Regression Model to Predict Housing Prices in King County in Washington
Public-facing King County restaurant safety dashboard with search, historical analytics, and explainable next-inspection risk modeling.
Interactive Tableau dashboard analyzing King County real estate trends. Visualizes daily average sales prices, property condition heatmaps, and distribution metrics for bedrooms and bathrooms.
This repository contains simple usage examples for basic machine learning libraries. These notebooks are tested in Colab.
House price prediction using real King Country Assessor data
CatBoost achieves $50,860 MAE (89.25% accurate) on King County house prices. 8 preprocessing versions | 7 models | Full ablation study | Production-ready. From raw chaos to 10.75% error — preprocessing is 80% of ML.
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