Found 3,088 repositories(showing 30)
AswinKumar10
Predicting house prices using skicit learn in python.
krishnaik06
No description available
harshuv10
No description available
Nuwantha
No description available
mesudepolat
house price prediction model with lightgbm
tanishq-ctrl
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.
shhubhxm
House Price Prediction using Django and Heroku to host. The Web App uses the UCI Boston dataset as inputs and predicts the output using RandomForestRegressor.
engsafaaj
A simple App to predict price | C# | ML.NET
Prediction of Real Estate Prices
xingyu-shi
House Price Prediction
prashantsundge
Unlocking Housing Price Insights: Advanced Regress
iamprashanth238
simple model which predict prices of houses
Renertt
ML project for predicting house prices using Kaggle ds.
sunaynatalreja
No description available
shhubhxm
Using UCI boston dataset created a model and looking for promising attributes, finding out correlations, plotting graphs, creating a pipeline, dealing with missing values and saving the model using joblib.
izelcelikkaya
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.
shahriya1995
House Prediction using Both Images and Textual Information - Keras Functional API, Neural Networks, CNN
Shubh07k
House Price Prediction
prafullchoudhary
No description available
kaoutharElbakouri
Build a House Prediction System using Django (Link Machine learning code to Django )
No description available
KAN-Team
The growing unaffordability of housing has become one of the major challenges for metropolitan cities around the world. In order to gain a better understanding of the commercialized housing market we are currently facing; we want to figure out what are the top influential factors of the housing price. Apart from the more obvious driving forces such as inflation and the scarcity of land, there are also several variables that are worth looking into. The task here is to reach a model that can closely predict the pricing of a house.
masdeval
No description available
AlekhyaRanabothu
Machine Learning models, Exploratory Data Analysis, Data Visualization using Python
deepakkapse
A model based on linear regression used to predict house price
lovnishverma
A Flask-based web application that predicts house prices in Delhi using machine learning. The application uses a Random Forest Regressor model to estimate property prices based on various features like BHK, bathrooms, parking, price per square foot, and furnishing status.
Suhilkoul
A web app for predicting price of apartments in bangalore city using linear regression model and flask server based on a bangalore based kaggle dataset
gaurKrishna
Using neural networks to predict house price from house sales in King County, USA
Rubal-code
House Price Prediction is a machine learning project that estimates property prices using features like location, size, and rooms. It includes data preprocessing, exploratory analysis, regression model training, and evaluation using metrics such as R², MAE, and RMSE, showcasing a complete end-to-end ML workflow.
mayanesrine
House price prediction using simple Linear Regression in MATLAB.