#房价 - 高级回归技术。预测销售价格并练习特征工程、RF 和梯度提升。
House Prices - Advanced Regression Techniques--Predict sales prices and practice feature engineering, RFs, and gradient boosting
Here are seven files：
"train.csv" - the training set
"test.csv" - the test set
"data_description.txt" - full description of each column, originally prepared by Dean De Cock but lightly edited to match the column names used here
"sample_submission.csv" - a benchmark submission from a linear regression on year and month of sale, lot square footage, and number of bedrooms
"Predict_sales_prices.ipynb" OR "HouseCode.py"- run code
"submission.csv" - a submission from code running