GitHub / tanishq-ctrl / House-price-prediction-and-visualization
This repository contains code and data for analyzing real estate trends, predicting house prices, estimating time on the market, and building an interactive dashboard for visualization. It is structured to cater to data scientists, real estate analysts, and developers looking to understand property market dynamics.
Stars: 8
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 20 MB
Dependencies parsed at: Pending
Created at: 6 months ago
Updated at: 3 months ago
Pushed at: 5 months ago
Last synced at: 2 months ago
Topics: catboost, catboost-classifier, catboostregressor, dataanlaytics, datavisualization-project, housepriceprediction, lightgbm, lightgbm-classifier, lightgbm-regressor, machinelearningalgorithms, r2score, rmse-score, xgboost, xgboost-algorithm, xgboost-classifier