How to handle categorical predictors with too many levels?
10256
Principled way of collapsing categorical variables with many levels?
65293
Dealing with Categorical variables in Multiple Regression
20019
Sample size for categorical data
75532
Beta coefficient interpretion with categorical and continuous predictors in a linear regression
157122
How can factor-levels be automatically chosen in R to maximize the number of positive coefficients in a regression model?
75677
Dealing with new Factor Levels in a Regression in R
11188
Can principal component analysis be applied to datasets containing a mix of continuous and categorical variables?
128980
How to deal with factors with rare levels in cross-validation?
136468
How to obtain optimal hyperparameters after nested cross validation?
11786
Simple effects of categorical interaction
112942
Checking Normality of Numerical, and Categorical Data
108970
Cross tabulation of two categorical variables: recommended techniques
133252
Multi-level repeated-measures logistic regression in python/R
86494
Mapping of categorical features into binary indicator features
49410
How to handle ordinal categorical variable as independent variable
78236
How to perform imputation of values in very large number of data points?
108205
Should I use a categorical cross-entropy or binary cross-entropy loss for binary predictions?