housing-price-prediction
There are 23 repositories under housing-price-prediction topic.
Viveckh/LilHomie
A Machine Learning Project implemented from scratch which involves web scraping, data engineering, exploratory data analysis and machine learning to predict housing prices in New York Tri-State Area.
tatha04/Housing-Prices-Advanced-Regression-Techniques
This notebook explores the housing dataset from Kaggle to predict Sales Prices of housing using advanced regression techniques such as feature engineering and gradient boosting.
SouravG/Housing-price-prediction-using-Regularised-linear-regression
Housing price prediction using Regularised linear regression
vaibhavvikas/housing-price-predictor
A machine learning project to predict the housing price based on Kaggle Housing Prices Competition
sbera7/Bengaluru-housing-price
Predicting housing prices using Bengaluru house price dataset
saikatXshrey/college-major-project
Search places get housing priceš¤
annareddy1/King-County-Housing-Price-Prediction-Web-App
This project enables figuring out the key features that determine the sales price of houses. The resulting Web App helps real estate developers, individual buyers, and banks seek the best area in King County to develop new apartment buildings or make purchases.
GayasuddinMohd/House-Price_Prediction
Predict House Prices : Embark on a predictive journey using single-variable linear regression. Explore relationships between house features and prices.
jsutch/TensorFlow
TensorFlow/Keras examples and notes.
showman-sharma/Housing-Price-Analysis
We are required to build a regression model using regularisation in order to predict the actual value of the prospective properties and decide whether to invest in them or not. The company wants to know: 1. Which variables are significant in predicting the price of a house, and 2. How well those variables describe the price of a house.
Sudippdn/Dragon-Real-State
Prediction of "Dragon Real State" will be here!!!
Abdelrahman-Amen/Housing-Price
Predicting housing prices with machine learning regression models. This project implements Linear Regression, Random Forest, and Decision Tree models for accurate predictions.
Ahamad76/Housing-Price-Prediction
The goal is to build a regression model to forecast the price of houses.
Akinesia112/Assessing-Standard-Values-of-Housing
Modeling the Spatial Distribution of Location Adjustment Parameters.
annareddy1/Boston-Housing-Analysis
Provided valuable insights into the predictive performance of different modeling methodologies for housing price prediction in Boston. It suggests that a combination of linear and non-linear models can be effective and lays the foundation for further research and practical applications in this domain.
Nishad21/Advanced-Regression-using-House-Price-Prediction-dataset
Advanced-Regression-using-House-Price-Prediction-dataset
vishal017/Melbourne_Housing
Melbourne Housing Analysis using Linear and Lasso Regression
IkChristine/House-Sales-Prediction-in-King-County-USA
Housing Prices Data Analysis with Python
nicolasloontjens/kaggle-house-prices-competition
My entry for the house prices competition, with a Kaggle score of 0.15537 using elastic net
pdpatil15/Housing_sales
Hosing sales dashboard of Washington DC made in Tableau
sauravwel/Boston-Housing-Price-Prediction-using-Deep-Learning
This project uses deep learning techniques to predict median housing prices in the Boston area using the Boston Housing dataset. The model employs TensorFlow, Keras, and Numpy, with a mean squared error loss function and Adam optimization algorithm. The results show high accuracy.
tthangtha/housing-price-prediction
Attempts at the famous Kaggle housing price prediction competition: in R