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real-estate-analytics

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Hamada-khairi / PFDA-Hamada

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A comprehensive R-based data analysis project that examines housing rental patterns across multiple cities, utilizing statistical methods and visualization techniques to analyze 4,746 properties' data points including rent prices, locations, and amenities. The project employs various R libraries to clean, process, and visualize rental market trends

data-science ggplot2 data-analysis apu r-studio data-visualization-project data-analysis-in-r r-programming-projects data-cleaning-and-preprocessing data-processing-and-analysis real-estate-analytics r-statistics house-rent-prediction
  • Updated Sep 14, 2024
  • R

myselfshivams / UrbanSphere

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UrbanSphere is a powerful tool designed to assist potential buyers and residents by evaluating and ranking sub-districts of cities. It uses diverse parameters such as air quality, water quality, crime rate, and proximity to essential facilities to highlight the best areas for your needs.

react-native nextjs urban-planning location-based-services geospatial-analysis ranking-algorithms smart-city-solutions real-estate-analytics quality-of-life-metrics
  • Updated Nov 12, 2024
  • TypeScript

stefagnone / -Ames-Housing-Analysis-Feature-Engineering-and-Model-Tuning

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Data-driven analysis of the Ames Housing Dataset, combining advanced feature engineering and Stochastic Gradient Descent (SGD) regression model tuning. This repository showcases predictive modeling, hyperparameter optimization, and actionable insights for real estate analytics.

python machine-learning data-visualization sgd feature-engineering predictive-modeling regression-analysis ames-housing-dataset real-estate-analytics
  • Updated Dec 12, 2024
  • Jupyter Notebook

VIPULbunny / House-price-prediction

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House Price Prediction is a machine learning project that analyzes real estate data to predict house prices based on various features like location, size, and amenities. It involves data preprocessing, exploratory data analysis (EDA), feature engineering, and model training using regression algorithms to provide accurate price estimates. 🚀📊🏡

python data-science machine-learning scikit-learn eda data-visualization feature-engineering predictive-modeling regression-models house-price-prediction housing-market-analysis real-estate-analytics ai-in-real-estate
  • Updated Mar 6, 2025
  • PHP

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