比賽地址
https://www.kaggle.com/c/house-prices-advanced-regression-techniques/kernels
參考Kernal
- Comprehensive data exploration with Python
https://www.kaggle.com/pmarcelino/comprehensive-data-exploration-with-python - Stacked Regressions : Top 4% on LeaderBoard
https://www.kaggle.com/serigne/stacked-regressions-top-4-on-leaderboard - Hybrid SVM Benchmark Approach [0.11180] LB: Top 2%
https://www.kaggle.com/couyang/hybrid-svm-benchmark-approach-0-11180-lb-top-2 - Top 2% from Laurenstc on house price prediction
https://www.kaggle.com/hemingwei/top-2-from-laurenstc-on-house-price-prediction - All You Need is PCA (LB: 0.11421, top 4%)
https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4
作者本人的中文csdn也偶然間看到了…
https://blog.csdn.net/wydyttxs/article/details/79680814 - 關於特徵
https://github.com/aptx4869yuyang2017/Home_Credit_Default_Risk_my_notebook/blob/master/gplearn_feature.ipynb