https://github.com/princeinscripts/linear-regression-model

implementation of linear regression model using sklearn
https://github.com/princeinscripts/linear-regression-model

Last synced: 1 day ago
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implementation of linear regression model using sklearn

• Host: GitHub
• URL: https://github.com/princeinscripts/linear-regression-model
• Owner: PrinceInScripts
• Created: 2024-01-16T12:17:58.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2024-01-16T12:26:42.000Z (10 months ago)
• Last Synced: 2024-01-16T19:27:30.320Z (10 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 2.3 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# House Price Prediction Model

This project aims to build a simple house price prediction model using scikit-learn's linear regression. The model is trained on a dataset containing various features related to houses, and it predicts the price of a house based on those features.

## Getting Started

### Prerequisites

Make sure you have Python installed on your machine. You can install the required dependencies using:

```bash

pip install -r requirements.txt

```

#### Run **main.py** to see the result.