https://github.com/soumyapro/house-price-prediction

Explored different attributes of Boston housing dataset then a part of dataset was used to train the linear regression algorithm after that trained model was used to give predictions on remaining part of dataset.
https://github.com/soumyapro/house-price-prediction

linear-regression matlplotlib numpy pandas sklearn svm

Last synced: 3 months ago
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Explored different attributes of Boston housing dataset then a part of dataset was used to train the linear regression algorithm after that trained model was used to give predictions on remaining part of dataset.

• Host: GitHub
• URL: https://github.com/soumyapro/house-price-prediction
• Owner: Soumyapro
• Created: 2024-05-02T15:12:54.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-05-02T15:18:47.000Z (about 1 year ago)
• Last Synced: 2025-01-11T23:14:02.222Z (4 months ago)
• Topics: linear-regression, matlplotlib, numpy, pandas, sklearn, svm
• Language: Jupyter Notebook
• Homepage:
• Size: 697 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# House-Price-Prediction

Explored different attributes of Boston housing dataset then a part of dataset was used to train the linear regression algorithm after that trained model was used to give predictions on remaining part of dataset.

**High-Level Approach**

- Exploring and analyzing the data used for making prediction

- Creating a simple model using linear regression

- Using the model to carryout prediction and evaluating it's efficiency