agrawal-priyank/machine-learning-regression

Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso, and gradient descent for optimization in Python

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This project helps real estate professionals and property investors estimate house sale prices. By inputting historical property data, it generates predictive models that output estimated market values. Anyone involved in property valuation or market analysis would find this useful.

No commits in the last 6 months.

Use this if you want to understand how different machine learning techniques can be applied to predict housing prices.

Not ideal if you need a production-ready, highly optimized house price prediction model for immediate practical use.

real-estate property-valuation market-analysis house-flipping investment-analysis
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 8 / 25
Community 23 / 25

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Last pushed

Dec 08, 2023

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