https://github.com/darkdk123/house-valuation-model

A Challenge Project in a Boot-Camp to create a ML Model to predict the prices of houses in Boston Massachusetts from multiple parameters Using Multivariable Regression.
https://github.com/darkdk123/house-valuation-model

data-analysis data-science data-visualization matplotlib-pyplot multivariate-regression predictive-modeling statistics

Last synced: about 1 month ago
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A Challenge Project in a Boot-Camp to create a ML Model to predict the prices of houses in Boston Massachusetts from multiple parameters Using Multivariable Regression.

• Host: GitHub
• URL: https://github.com/darkdk123/house-valuation-model
• Owner: DarkDk123
• Created: 2022-10-03T19:51:07.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-10-29T18:27:10.000Z (over 2 years ago)
• Last Synced: 2024-11-07T15:26:46.554Z (3 months ago)
• Topics: data-analysis, data-science, data-visualization, matplotlib-pyplot, multivariate-regression, predictive-modeling, statistics
• Language: Jupyter Notebook
• Homepage:
• Size: 11.7 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# House-valuation-model

A Challenge Project in a Boot-Camp to create a ML Model to predict the prices of houses in Boston Massachusetts from multiple parameters Using Multivariable Regression.

Building a Regression Model that can Provide a Home Price Estimate based on home's characteristics like:

* The number of rooms

* The distance to employment centres

* How rich or poor the area is

* How many students there are per teacher in local schools etc





 ⭐ Luckily we have got our Final Model's Accuracy a little good -->


• Accuracy on Training data : 79%


• Accuracy on Testing data : 74%



**Reference:**

This is a copy of [UCI ML housing dataset](https://archive.ics.uci.edu/ml/machine-learning-databases/housing/).

This dataset was taken from the StatLib library which is maintained at Carnegie Mellon University.

You can find the [original research paper here](https://deepblue.lib.umich.edu/bitstream/handle/2027.42/22636/0000186.pdf?sequence=1&isAllowed=y).