https://github.com/amanuel-1/houseprice-predicter-model

https://github.com/amanuel-1/houseprice-predicter-model

Last synced: 12 days ago
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• Host: GitHub
• URL: https://github.com/amanuel-1/houseprice-predicter-model
• Owner: Amanuel-1
• Created: 2024-02-02T21:52:28.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2024-04-04T22:38:27.000Z (8 months ago)
• Last Synced: 2024-04-04T23:34:31.536Z (8 months ago)
• Language: Jupyter Notebook
• Size: 689 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        

# Machine Learning Model for Sale Price Prediction

## Overview

This repository contains a simple machine learning model developed for predicting sale prices based on selected features. The model is implemented using the Linear Regression algorithm from the scikit-learn library.

## Files

- **train.csv**: Dataset used for training the machine learning model.

- **test.csv**: Dataset for evaluating the trained model and making predictions.

- **main.py**: Python script implementing the machine learning model and generating predictions.

- **predictions.csv**: Output file containing predicted sale prices for the test dataset.

## Usage

1. Install the required libraries:

   ```bash

   pip install pandas scikit-learn seaborn matplotlib