Skip to content

This project uses supervised machine learning to predict the price of a property based upon its location and area. The database contains the data of around 100 different hypothetical houses, their location, their area and their price. The user has to enter the location and area of the house as the input and the program predicts the price of that…

Notifications You must be signed in to change notification settings

Tinker-Twins/House_Price_Prediction_Using_Machine_Learning

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 

Repository files navigation

House Price Prediction Using Machine Learning

This project uses supervised machine learning to predict the price of a property based upon its size. The training data set contains the data of around 100 different hypothetical houses, their area and their price. The user has to enter the area of the house as the input and the program predicts the price of that house using machine learning and displays it as output.

YouTube Link: https://youtu.be/1D7rzHlBY1U

About

This project uses supervised machine learning to predict the price of a property based upon its location and area. The database contains the data of around 100 different hypothetical houses, their location, their area and their price. The user has to enter the location and area of the house as the input and the program predicts the price of that…

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published