There are 7 repositories under house-price-prediction topic.
HousePricing旨在提供房价的可视化预测,帮助用户更好的评估房产和预测未来的价格(dev)
房价预测完整项目:1.爬取链家网数据 2.处理后,用sklearn中几个逻辑回归机器学习模型和keras神经网络搭建模型预测房价 最终结果神经网络效果更好,R^2值0.75左右
Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso, and gradient descent for optimization in Python
Data Analysis & Visualization - Predict the future price of houses
This repo contains 4 different projects. Built various machine learning models for Kaggle competitions. Also carried out Exploratory Data Analysis, Data Cleaning, Data Visualization, Data Munging, Feature Selection etc
Data Science & Machine Learning Internship at Flip Robo Technologies
This repo has been developed for the Istanbul Data Science Bootcamp, organized in cooperation with İBB and Kodluyoruz. Prediction for house prices was developed using the Kaggle House Prices - Advanced Regression Techniques competition dataset.
In this project, I have created simple model which predict the price of the house on the basis of it's area.
Model deployment with flask api, using Linear Regression to predict the price value. Deploy ML Models Using Flask to take your models from python to production.
Play around with NGBoost and compare with LightGBM and XGBoost
IIT ROPAR - Diginique Techlabs --> Data Science Machine Learning and AI using Python
Machine Learning Project to Predict House Prices in Bangalore.
Welcome to some case study of data science projects - (Personal Projects).
House Price Prediction using Supervised Machine Learning ( Linear Regression Model )
This is a capstone project associated with MLOps Zoomcamp. The end goal of the project is to build an end-to-end machine learning project containing feature engineering, training, validation, tracking, modeel deployment, hosting, and general engineering best practices aimed at making house price predictions.
house price prediction model with lightgbm
House Price Prediction
A Web App to predict rent of house.
An Artificial Neural Network model to predict house prices over a kaggle dataset.
Proyek pertama predictive analytics untuk membangun model machine learning yang dapat memprediksi harga sewa rumah dan apartement di India.
Worked on Real Estate Price data analysis by scraping website from www.99acres.com to help the housing domain as well as estimate the sale value of various houses and open plots.
武汉东湖高新片区光谷&软件园二手房房价爬虫。data source: 房天下
بناء شبكة عصبية باستخدام مكتبة كيراس Keras للتنبؤ بأسعار المنازل
Web scraper that creates a dataset of house data from www.funda.nl
Yangon apartment price dataset range between 20 Million Kyat(သိန်း ၂၀၀) and 50 Million Kyat (သိန်း ၅၀၀)
A compilation of different models that predict a home's value (in Melbourne, Australia) and determine which model performs better and why.
[READ-ONLY MIRROR] A case study on predicting house prices in Ames, Iowa
Extracción de viviendas del portal inmobiliario Idealista. Análisis de efectos geoespaciales en la modelización del precio de la vivienda en la ciudad de Madrid.
A machine learning project that explores and predicts the prices of houses in Washington, USA
This repo is a part of K136. Kodluyoruz & Istanbul Metropolitan Municipality Data Science Bootcamp. The project aims to produce a machine learning model for home price estimation. The model was built on the Kaggle House Prices - Advanced Regression Techniques competition dataset.
To develop a machine learning model that accurately predicts housing prices using the Boston Housing dataset by analyzing various house features, and it utilizes a CatBoost model to assist potential buyers or sellers in estimating housing prices.
House Price Prediction for Pune and Bangalore. This app uses two api which are trained on pune and bangalore city dataset. to predict the price of house as per the parameters entered by the users.
Real Estate Price Prediction Using Machine Learning Project with Code and Datatsets