GitHub / shaadclt / Home-Price-Prediction-Economic-Indicators
This project aims to predict home prices using various economic indicators from the Federal Reserve Economic Data (FRED). The project involves data collection, data preparation, model building, and analysis of the results.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shaadclt%2FHome-Price-Prediction-Economic-Indicators
PURL: pkg:github/shaadclt/Home-Price-Prediction-Economic-Indicators
Stars: 3
Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 14.6 KB
Dependencies parsed at: Pending
Created at: about 1 year ago
Updated at: 9 months ago
Pushed at: 9 months ago
Last synced at: 2 months ago
Topics: decision-tree, gradient-boosting-regressor, house-price-prediction, linear-regression, random-forest, xgboost-regression