Kaggle - House Prices: Advanced Regression Techniques

比赛地址

https://www.kaggle.com/c/house-prices-advanced-regression-techniques/kernels

参考Kernal

1. Comprehensive data exploration with Python
   https://www.kaggle.com/pmarcelino/comprehensive-data-exploration-with-python
2. Stacked Regressions : Top 4% on LeaderBoard
   https://www.kaggle.com/serigne/stacked-regressions-top-4-on-leaderboard
3. Hybrid SVM Benchmark Approach [0.11180] LB: Top 2%
   https://www.kaggle.com/couyang/hybrid-svm-benchmark-approach-0-11180-lb-top-2
4. Top 2% from Laurenstc on house price prediction
   https://www.kaggle.com/hemingwei/top-2-from-laurenstc-on-house-price-prediction
5. 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也偶然间看到了…
   https://blog.csdn.net/wydyttxs/article/details/79680814
6. 关于特征
   https://github.com/aptx4869yuyang2017/Home_Credit_Default_Risk_my_notebook/blob/master/gplearn_feature.ipynb