Model deployment with flask api, using Linear Regression to predict the price value. Deploy ML Models Using Flask to take your models from python to production.

No description available

This is a python Flask web app made to predict the house prices based on attributes like no. of rooms, parking facility, etc. The prediction algorithm used at the backend is 'Linear Regression'.

Bengaluru Real Estate House Price Prediction In this project, the main aim is to predict the prices of houses available in Bengaluru. The price is mainly based upon the Area, Number of Bedrooms, Bathrooms, and the Locality of the house itself. It is a Machine Learning project with frontend and backend. The front end was developed using flask.

using flask web framework a machine learning model for house price prediction

This project is a website that aims to predict house prices according to the type of house chosen. The making of this website uses Web Service Flask and the house price prediction model uses the KNN Regressor algorithm

A machine learning project that predicts Bangalore house prices using a Random Forest model, with end-to-end preprocessing and a Flask web app for real-time predictions.

No description available

House Price Prediction using Linear Regression Model in Flask (Deployed on Docker)

This project implements a Bangalore house price prediction system using Linear Regression. It is built as an end-to-end machine-learning project using Flask.

This repository contains the source code for the House Price Prediction web application, developed using Flask. The application allows users to predict house prices based on various features such as number of bedrooms, bathrooms, size, and location. It utilizes machine learning models trained o

Predict house prices using Machine Learning! Enter features like size, bedrooms, bathrooms, and location in a user-friendly Flask web app to get instant price predictions. Built with Python, Scikit-Learn, and feature scaling for accurate results.

A full-stack web app that predicts house prices using machine learning. Built with React, Node.js, Flask, and MongoDB, it provides secure user login, a multi-step prediction form, and confidence intervals powered by an ensemble ML model. Fully containerized with Docker for easy deployment.

It is a website that consists of 2 interfaces. One for Prediction of price of houses and another for the owner to add his house to website if he is willing to sell and customers can contact owner if they want to buy. Dataset is cleaned using ML concepts and Linear Regression model is used. Technologies used are flask, HTML,CSS, Javascript, Firebase to store data.Our project provides an easy interface for the customers to search for the required properties based on the locations, number of bedroom and bathrooms that are very much necessary for the individual to live. Based on our website they can even estimate the price of the property without the third party. Our website helps the customers to look for the necessary properties which are very much required by them, here each customer is identified uniquely based on email and username. The customer should login to the website by the given email address only that was provided by the user while registering to the website. Here at the end we are providing the service where details of the property are displayed and contact of seller is provided at the end, so that user can contact through mail.

No description available

No description available

No description available

House Price Prediction deployment using Flask

No description available

House Price Prediction using ML and Flask

Machine learning based house price prediction using Flask

Boston house price prediction API made using python flask

Deployment of the House Price Sales prediction Using Flask

House Price Prediction using Linear Regression with Scikit-learn and Flask

House price prediction using multiple linear regression and web app using Flask

Developed a House Price Prediction system using Machine Learning , Data science and Flask

Powerfull Machine Learning Algorthims for House Price Prediction using Flask in front end .

Berlin house price prediction using ML pipelines, regression & ensemble models, with Flask + AWS deployment.

California Houses Prices prediction app using Scikit-learn served as a Flask web app.

Using Ml and flask I made a house price prediction project with 81% accuracy .