GitHub / andiosika / Multiple-linear-regression-for-predicting-home-prices
Using 21 categorical and numeric features in a multivariate linear regression to find that 79% of a home price can be positively affected by a combination of certain features like location, square feet, condition and age of the home.
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PURL: pkg:github/andiosika/Multiple-linear-regression-for-predicting-home-prices
Stars: 1
Forks: 0
Open issues: 1
License: None
Language: Jupyter Notebook
Size: 25.3 MB
Dependencies parsed at: Pending
Created at: about 5 years ago
Updated at: over 4 years ago
Pushed at: over 4 years ago
Last synced at: 9 months ago
Topics: multivariate-linear-regression, scipy, statsmodels