kaggle-House-Prices-Advanced-Regression-Techniques

version1 (0.11709, top 20%) :
- remove outliers, remove redundant features, log transform y, impute missing values, encode categorical features, construct extra features
- Ridge+Lasso+ElasticNet+KernelRidge+RandomForestRegressor+GradientBoostingRegressor+XGBRegressor+LGBMRegressor+Stacking(Ridge)
version2 (0.11670, top 20%) :
- remove outliers, remove redundant features, log transform y, impute missing values, encode categorical features, encode ordinal features, remove skewed features, construct extra features
- Ridge+Lasso+ElasticNet+KernelRidge+RandomForestRegressor+GradientBoostingRegressor+XGBRegressor+LGBMRegressor+Stacking(Ridge)

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
data		data
submission		submission
Ames, Iowa Alternative to the Boston Housing Data as an End of Semester Regression Project.pdf		Ames, Iowa Alternative to the Boston Housing Data as an End of Semester Regression Project.pdf
README.md		README.md
version1.ipynb		version1.ipynb
version2.ipynb		version2.ipynb

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