housing-price-prediction
There are 8 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.
Language:Jupyter Notebook 69- Language:Jupyter Notebook 30
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.
Language:Jupyter Notebook 15SouravG / Housing-price-prediction-using-Regularised-linear-regression
Housing price prediction using Regularised linear regression
Language:Jupyter Notebook 7vaibhavvikas / housing-price-predictor
A machine learning project to predict the housing price based on Kaggle Housing Prices Competition
Language:Jupyter Notebook 5saikatXshrey / college-major-project
Search places get housing priceš¤
sbera7 / Bengaluru-housing-price
Predicting housing prices using Bengaluru house price dataset
Language:Jupyter Notebook 2jsutch / TensorFlow
TensorFlow/Keras examples and notes.
Language:Jupyter Notebook 1showman-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.
Language:Jupyter Notebook 1Sudippdn / Dragon-Real-State
Prediction of "Dragon Real State" will be here!!!
Language:Jupyter Notebook 1Abdelrahman-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.
Language:Jupyter Notebook 0KiraTheGenius / Machine-Learning-Prediction-Boston-Housing-Price
Linear Regression for Predict Housing Price in Boston
Language:Jupyter Notebook 0Ahamad76 / Housing-Price-Prediction
The goal is to build a regression model to forecast the price of houses.
Language:Jupyter Notebookannareddy1 / 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.
Language:RThis 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.
Language:RGayasuddinMohd / House-Price_Prediction
Predict House Prices : Embark on a predictive journey using single-variable linear regression. Explore relationships between house features and prices.
Language:Jupyter NotebookIkChristine / House-Sales-Prediction-in-King-County-USA
Housing Prices Data Analysis with Python
Language:Jupyter Notebooknicolasloontjens / kaggle-house-prices-competition
My entry for the house prices competition, with a Kaggle score of 0.15537 using elastic net
Language:Pythonpdpatil15 / 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.
Language:Jupyter Notebooktthangtha / housing-price-prediction
Attempts at the famous Kaggle housing price prediction competition: in R
vishal017 / Melbourne_Housing
Melbourne Housing Analysis using Linear and Lasso Regression
Language:Jupyter Notebook
