mslawsky/predicting-housing-prices

Neural network that predicts the price of a house according to a simple formula (Deep Learning & TensorFlow)

Size: 121 KB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

gvellos/Perceptron-for-House-Price-Prediction

A machine learning project using a custom-built Perceptron, Linear Regression, and a Neural Network to predict California housing prices based on the California Housing Dataset. Includes full data preprocessing, visualization, and evaluation pipeline. 3rd year University Project

Language: Python - Size: 2.56 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

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 - Size: 10.5 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 92 - Forks: 19

vaibhavvikas/housing-price-predictor

A machine learning project to predict the housing price based on Kaggle Housing Prices Competition

Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 7

goutamhegde002/ML-and-Data-Science-Projects

Few simple ML and Data Science related Projects

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Akinesia112/Assessing-Standard-Values-of-Housing

Modeling the Spatial Distribution of Location Adjustment Parameters.

Language: Jupyter Notebook - Size: 62.2 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

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.

Language: R - Size: 1.47 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

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.

Language: R - Size: 17.6 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

sbera7/Bengaluru-housing-price

Predicting housing prices using Bengaluru house price dataset

Language: Jupyter Notebook - Size: 380 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 2

Sudippdn/Dragon-Real-State

Prediction of "Dragon Real State" will be here!!!

Language: Jupyter Notebook - Size: 1.18 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

bibek376/Housing_Price_Prediction

Language: Jupyter Notebook - Size: 7.74 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 24 - Forks: 21

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.

Language: Jupyter Notebook - Size: 454 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

pdpatil15/Housing_sales

Hosing sales dashboard of Washington DC made in Tableau

Size: 2.25 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

GayasuddinMohd/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 Notebook - Size: 339 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

jsutch/TensorFlow

TensorFlow/Keras examples and notes.

Language: Jupyter Notebook - Size: 30.3 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

nicolasloontjens/kaggle-house-prices-competition

My entry for the house prices competition, with a Kaggle score of 0.15537 using elastic net

Language: Python - Size: 292 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

SouravG/Housing-price-prediction-using-Regularised-linear-regression

Housing price prediction using Regularised linear regression

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IkChristine/House-Sales-Prediction-in-King-County-USA

Housing Prices Data Analysis with Python

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cholitoary/House-Price-Prediction

house price prediction model for House Prices - in kaggle competition

Language: Jupyter Notebook - Size: 2.29 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

KiraTheGenius/Machine-Learning-Prediction-Boston-Housing-Price

Linear Regression for Predict Housing Price in Boston

Language: Jupyter Notebook - Size: 40 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 7.16 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

Astroworld97/CS574FinalProject

Final Project for the ISU CS 574 course, Introduction to Machine Learning. Consists of using Decision Tree and Random Forest to predict housing prices.

Size: 1.14 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

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 Notebook - Size: 4.88 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

saikatXshrey/college-major-project

Search places get housing price🤑

Size: 13.4 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1