https://github.com/vishal-038/real_estate_price_prediction

The Real Estate Price Prediction project aims to develop a machine learning model to predict house prices based on various features
https://github.com/vishal-038/real_estate_price_prediction

data-analysis data-science data-visualization machine-learning python

Last synced: about 1 month ago
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The Real Estate Price Prediction project aims to develop a machine learning model to predict house prices based on various features

• Host: GitHub
• URL: https://github.com/vishal-038/real_estate_price_prediction
• Owner: VISHAL-038
• Created: 2024-06-15T16:20:18.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-06-16T16:15:13.000Z (7 months ago)
• Last Synced: 2024-06-16T19:02:51.439Z (7 months ago)
• Topics: data-analysis, data-science, data-visualization, machine-learning, python
• Language: Jupyter Notebook
• Homepage:
• Size: 371 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Real Estate Price Prediction

## Table of Contents

1. [Project Overview](#project-overview)

2. [Dataset](#dataset)

## Project Overview

The Real Estate Price Prediction project aims to develop a machine learning model to predict house prices based on various features such as location, square footage, number of bedrooms, and more. The goal is to provide a tool that can help buyers, sellers, and real estate agents make informed decisions.

## Dataset

The dataset used for this project includes information on various houses, such as:

- Location

- Number of bedrooms

- Number of bathrooms

- Square footage

- Year built

- Lot size

- Price

### Source

The dataset was collected from [source name, e.g., Kaggle, public records, etc.]. If the dataset is available online, provide the link to access it.

## Installation

To run this project locally, you need to have Python installed on your machine. Additionally, install the necessary packages using the following command:

```bash

pip install -r requirements.txt

pandas

numpy

scikit-learn

matplotlib

seaborn

jupyter