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kaggle-house-prices-advanced-regression-techniques
Repository for source code of kaggle competition: House Prices: Advanced Regression Techniques
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Selecting good features
#20
rjonczy
opened
7 years ago
0
Create framework for models blending
#19
rjonczy
opened
7 years ago
0
Create 2nd level of models (models stacking)
#18
rjonczy
opened
7 years ago
0
Allow to save tuned params of best single model
#17
rjonczy
opened
7 years ago
0
Allow to save best single model (models serialisation)
#16
rjonczy
opened
7 years ago
0
Improve accuracy model with ensembling - averaging
#15
rjonczy
opened
7 years ago
0
Try the 1.13.4.3. Tree-based feature selection and also the Pipeline method
#14
divivoma
opened
7 years ago
0
Try the Randomized sparse models
#13
divivoma
opened
7 years ago
0
Try to reduce the feature by using the SelectFromModel
#12
divivoma
closed
7 years ago
1
improve procedure of loading dataset
#11
rjonczy
opened
7 years ago
1
tune hyperparams for DecisionTreeRegressor model
#10
rjonczy
closed
7 years ago
0
Evaluate the cross corelation of the variables after the get_dummies
#9
divivoma
closed
7 years ago
1
exploration notebook of submission files
#8
rjonczy
opened
7 years ago
0
loading new versions of dataset
#7
rjonczy
opened
7 years ago
0
automatic selection of best model in single models
#6
rjonczy
opened
7 years ago
1
tune hyperparameters for linear models (Lasso, Ridge, ElasticNet)
#5
rjonczy
closed
7 years ago
0
tune hyperparameters of Extra Trees model
#4
rjonczy
closed
7 years ago
0
tune hyperparams for XGBoost model
#3
rjonczy
closed
7 years ago
0
tune hyperparams for LightGBM model
#2
rjonczy
closed
7 years ago
0
tune hyperparams for Random Forest model
#1
rjonczy
closed
7 years ago
0