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GitHub / msikorski93 / Predicting-Prices-on-King-County-Housing-Dataset

Predicting house prices using different regression analysis models.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/msikorski93%2FPredicting-Prices-on-King-County-Housing-Dataset
PURL: pkg:github/msikorski93/Predicting-Prices-on-King-County-Housing-Dataset

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 5.59 MB
Dependencies parsed at: Pending

Created at: almost 4 years ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: 2 months ago

Topics: catboost, eda, gradient-boosting, king-county, lightgbm, linear-regression, machine-learning, neural-network, polynomial-regression, real-estate, regression-models, scikit-learn, tensorflow, xgboost

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