massquantity/Kaggle-HousePrices

Kaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4

41
/ 100
Emerging

Applies PCA for dimensionality reduction and feature selection on engineered housing attributes, then combines multiple regression models through weighted averaging and stacking ensembles. The workflow includes systematic data cleaning, categorical value mapping via preprocessing pipelines, and exploratory visualization to identify predictive patterns. Achieves top-4 leaderboard performance by integrating base learners into a stacked meta-learner for robust price predictions.

165 stars. No commits in the last 6 months.

No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 23 / 25

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Stars

165

Forks

84

Language

Jupyter Notebook

License

Last pushed

Sep 22, 2018

Commits (30d)

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