Shotza247/California_Housing_PredictionV1

Predicts California district-level house prices using census data — combining KNN imputation, feature engineering, and a Random Forest model (R² = 0.75) to help property businesses make faster, data-driven valuation decisions.

14
/ 100
Experimental
No License No Package No Dependents
Maintenance 13 / 25
Adoption 0 / 25
Maturity 1 / 25
Community 0 / 25

How are scores calculated?

Stars

—

Forks

—

Language

Jupyter Notebook

License

—

Category

housing-price-prediction

Last pushed

Mar 18, 2026

Commits (30d)

0

GitHub
Housing Price Prediction · 143 frameworks

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Shotza247/California_Housing_PredictionV1"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

ccao-data/model-res-avm

Automated valuation model for all class 200 residential properties in Cook County (except vacant...

56

huzaifsayed/Linear-Regression-Model-for-House-Price-Prediction

Linear Regression Model for Real State House Price Prediction

43

ccao-data/model-condo-avm

Automated valuation model for all class 299 and 399 residential condominiums in Cook County

42

Amey-Thakur/BANGALORE-HOUSE-PRICE-PREDICTION

Machine Learning Project to Predict House Prices in Bangalore.

42

vishwasbasotra/Bangalore-Real-Estate-Price-Prediction-WebApp

This Model/WebApp predicts real estate price in Bangalore.

41

Explore ML Frameworks

All categories Trending ML Framework directory Insights