Command-line access to King County food facility ratings, inspection history, violations, geocoding, and raw ArcGIS feature-layer queries.
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Jun 20, 2026 - Python
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king-county
Here are 22 public repositories matching this topic...
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.
real-estate python data-science exploratory-data-analysis gis data-visualization data-analytics housing-prices mapbox seattle geospatial-analysis housing-market streamlit king-county interactive-dashboard
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Oct 7, 2024 - Jupyter Notebook
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%.
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Nov 7, 2020 - Jupyter Notebook
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.
python machine-learning numpy linear-regression scikit-learn jupyter-notebook pandas seaborn kaggle datascience flatiron-school matplotlib grade flatiron-school-project house-prices scikit-learn-python sellers osemn king-county
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Apr 28, 2020 - Jupyter Notebook
King County, WA civic data tools for pydantic-ai agents. No API keys required. Agent-friendly: --pipe, --schema, tool.json.
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Jul 20, 2026 - Python
Convert a King County, WA street address to its 10-digit parcel number (PIN). Agent-friendly: --pipe, --schema, tool.json.
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Jul 20, 2026 - Python
Look up building permit status for King County, WA — searches across city + county jurisdictions. Agent-friendly: --pipe, --schema, tool.json.
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Jul 21, 2026 - Python
Predicting house prices using different regression analysis models.
real-estate machine-learning neural-network tensorflow linear-regression scikit-learn eda xgboost lightgbm polynomial-regression regression-models gradient-boosting catboost king-county
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Jan 18, 2024 - Jupyter Notebook
Linear Regression predicting King County Housing Data Modeling
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Oct 19, 2020 - Jupyter Notebook
Exploratory data analysis and predictive modeling on King County house sales data using Python, pandas, NumPy, seaborn, matplotlib, and scikit-learn.
real-estate python data-science machine-learning scikit-learn exploratory-data-analysis jupyter-notebook regression pandas seaborn housing-prices king-county
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Jun 4, 2026 - Python
Best place to live in King County
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Aug 11, 2020 - Jupyter Notebook
This repository contains a linear regression model to predict the price of a home in King County, Washington.
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Sep 25, 2020 - Jupyter Notebook
Developing a Regression Model to Predict Housing Prices in King County in Washington
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Dec 23, 2021 - Jupyter Notebook
Public-facing King County restaurant safety dashboard with search, historical analytics, and explainable next-inspection risk modeling.
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Mar 9, 2026 - Python
Interactive Tableau dashboard analyzing King County real estate trends. Visualizes daily average sales prices, property condition heatmaps, and distribution metrics for bedrooms and bathrooms.
dashboard data-visualization business-intelligence tableau housing-market king-county real-estate-analytics
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Jan 24, 2026
Specialized integration for King County, Washington geospatial services with county-specific parcel data and property information
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May 22, 2026 - TypeScript
This repository contains simple usage examples for basic machine learning libraries. These notebooks are tested in Colab.
pipeline clustering sklearn keras regression mnist xgboost classification titanic iris smote imblearn kerastuner king-county auto-hyperparameter-tuning custom-transfomer
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Feb 6, 2023 - Jupyter Notebook
House price prediction using real King Country Assessor data
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May 24, 2026 - Jupyter Notebook
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.
real-estate python machine-learning regression kaggle xgboost data-preprocessing seattle house-price-prediction portfolio-project catboost ml-pipeline king-county 89-percent-accuracy
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Nov 10, 2025 - Python
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