Using ML tools learned recently in courses on the Kaggle House Prices challenge

Algorithm	Options	R^2 score	Kaggle score
Support Vector Regressor	rbf	0.80	0.16950
Support Vector Regressor	linear	0.72	0.16441
Support Vector Regressor	poly	0.59	0.35533
CatBoost	auto	0.93	0.21919
CatBoost	hyperopt	0.82	0.24115
XGBoost
Random Forest	20 estimators
Voting ensemble
AdaBoost
Bagging
Gradient boosting
GridsearchCV
Neural Net

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
.ipynb_checkpoints		.ipynb_checkpoints
Data Prep		Data Prep
catboost_info		catboost_info
house-prices-advanced-regression-techniques		house-prices-advanced-regression-techniques
.gitattributes		.gitattributes
EDA.ipynb		EDA.ipynb
HousePricesLogo.png		HousePricesLogo.png
Kaggle_Houseprices_train.csv		Kaggle_Houseprices_train.csv
README.md		README.md
SOM - improved.ipynb		SOM - improved.ipynb
SWEETVIZ_REPORT.html		SWEETVIZ_REPORT.html
Untitled.ipynb		Untitled.ipynb
catboost.ipynb		catboost.ipynb
cleaned_data.csv		cleaned_data.csv
copy_regressor.ipynb		copy_regressor.ipynb
house-prices-advanced-regression-techniques.zip		house-prices-advanced-regression-techniques.zip
hp_catboost copy.ipynb		hp_catboost copy.ipynb
hp_catboost.ipynb		hp_catboost.ipynb
hp_catboost_auto.csv		hp_catboost_auto.csv
hp_catboost_hyperopt.csv		hp_catboost_hyperopt.csv
hp_support_vector_regression copy.ipynb		hp_support_vector_regression copy.ipynb
hp_support_vector_regression.ipynb		hp_support_vector_regression.ipynb
hp_support_vector_regression.py		hp_support_vector_regression.py
hp_svm.csv		hp_svm.csv
hp_svr_linear.csv		hp_svr_linear.csv
hp_svr_poly.csv		hp_svr_poly.csv
hp_svr_rbf.csv		hp_svr_rbf.csv
hp_svr_sigmoid.csv		hp_svr_sigmoid.csv
hp_test.csv		hp_test.csv
hp_train.csv		hp_train.csv
hp_xg_boost old.ipynb		hp_xg_boost old.ipynb
hp_xg_boost.ipynb		hp_xg_boost.ipynb
test.ipynb		test.ipynb

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