Skip to content

This project aims to develop a machine learning model for predicting house prices based on various features such as size, number of bedrooms, location, etc. The model utilizes regression techniques to estimate the sale prices of houses accurately

License

Notifications You must be signed in to change notification settings

Chunporo/House-Price-Prediction

Repository files navigation

House-Price-Prediction

This project aims to develop a machine learning model for predicting house prices based on various features such as size, number of bedrooms, location, etc. The model utilizes regression techniques to estimate the sale prices of houses accurately

How to using it

  1. Download ngrok
  2. Stream lit run deploy.py
  3. Ngrok http [localhost]
  4. Input data and it will show result.

About

This project aims to develop a machine learning model for predicting house prices based on various features such as size, number of bedrooms, location, etc. The model utilizes regression techniques to estimate the sale prices of houses accurately

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published