How to process categorical features with many values?
10256
Principled way of collapsing categorical variables with many levels?
118753
Is feature selection with dummy coding of categorical variables problematic?
86254
Ordinal regression with categorical covariates and predictors
103967
How to split data into 3 sets (train, validation and test)?
35219
How do I study the "correlation" between a continuous variable and a categorical variable?
62731
Predicting count data with random forest?
63640
Logistic regression with categorical predictors
76906
Penalized methods for categorical data: combining levels in a factor
127865
Regression with only categorical variables
32473
which predictive model should I use if column is having string values?
66601
Convert continuous numeric values to discrete categories defined by intervals
96640
How to Split Features in QGIS?
112991
What algorithms need feature scaling, beside from SVM?
118221
How to generate correlated test data that has Bernoulli, categorical, and continuous vectors (in R)?
47570
Will decision trees perform splitting of nodes by converting categorical values to numerical in practice?
11188
Can principal component analysis be applied to datasets containing a mix of continuous and categorical variables?
25399
Predicting with both continuous and categorical features