https://github.com/rohithmacharla11/house-price-predction

https://github.com/rohithmacharla11/house-price-predction

Last synced: about 1 month ago
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• Host: GitHub
• URL: https://github.com/rohithmacharla11/house-price-predction
• Owner: RohithMacharla11
• Created: 2024-02-05T12:27:43.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2024-02-05T12:29:03.000Z (11 months ago)
• Last Synced: 2024-02-05T13:40:56.064Z (11 months ago)
• Language: Jupyter Notebook
• Size: 33.2 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# House-Price-Predction

## Overview

This project focuses on predicting house prices using machine learning techniques. House price prediction is a crucial task in real estate, helping buyers, sellers, and investors make informed decisions. The project employs various machine learning algorithms to analyze features related to houses and predict their prices.

## Introduction

House Price Prediction involves building a machine learning model to estimate the prices of houses based on various features. This project explores the use of different algorithms to achieve accurate predictions.

## Dataset

The dataset used for this project is [provide_dataset_name]. It contains [number_of_entries] entries with [number_of_features] features, including the target variable indicating the price of the house.

## Features

- Bedrooms

- Bathrooms

- Square Footage

- Lot Size

- Year Built

- Garage Size

- Number of Floors

- Neighborhood