this is from kaggle competition on finding out the house price according to the given training and testing set given.

A high performance repo for kaggle house price prediction.

Deployed using Streamlit Cloud

A prices estimator comprising of various items using machine learning

"3rd PRIZE WINNER" Hackathon: Predicted price of the houses located in Bangalore, India - over a real time large scale data provided by the hackathon team.

Deep Learning model for house price prediction, deployed on AWS

A simple script that predicts the house price using Zillow's csv data file

Predictor of the price of a Cuban house given the description text (2022)

This is a quick ML project for predicting house prices with linear reggression!

Bangalore House Price Predictor is a web application that predicts house prices in Bangalore based on various features like location, BHK, number of bathrooms, and square feet. The app utilizes a machine learning model to make accurate predictions and provides a user-friendly interface for inputting property details and obtaining estimated prices.

A series of solutions to Kaggle Problems

This project is divided into Train dataset and Test dataset and prediction is based on both the dataset to cross check the sales price and sales conditions

Predict house prices in Ireland based on location using a database of previous house prices and locations.

Predictor of the price of a Cuban house given the description text (2022)

Doing house price prediction using Neural networks

Python Tensorflow example codes during practice

A program to predict prices of houses by taking into account the factors such as number of bedrooms, bathrooms, sqft of floor etc

Using the dataset compiled by Dean De Cock. Applying Feature Transformation, Feature Selection and K-fold Cross Validation

Projeto desenvolvido para predição do preço de imóveis no Rio de Janeiro utilizando o mlflow para gerenciamento do clico de vida do modelo.