When building a model with all categorical features, when do we use dummy variables and when do we use label encoding?
10256
Principled way of collapsing categorical variables with many levels?
48892
whether to rescale indicator / binary / dummy predictors for LASSO
6454
Perform feature normalization before or within model validation?
87585
When to use One Hot Encoding vs LabelEncoder vs DictVectorizor?
76216
Should I use multi-label classification?
155943
What approaches or problems do I need to consider when building a classification model from 2 different populations?
108970
Cross tabulation of two categorical variables: recommended techniques
13863
Is it advisable to drop certain levels of a categorical variable?
2115
Understanding dummy (manual or automated) variable creation in GLM
83655
Assumptions behind cross-validation
130037
correlation between categorical variables
118753
Is feature selection with dummy coding of categorical variables problematic?
10782
Correlations with unordered categorical variables
109955
regression models and dummy variables
42578
If a factor variable is to be dropped in model selection, should all levels be dropped simultaneously? If so, why?
123148
scikit learn creation of dummy variables
47872
Should covariates that are not statistically significant be 'kept in' when creating a model?