Difference between one-hot-encoding vs. building separate model for each category
102033
Separate Models vs Flags in the same model
40887
What does unwrapping a model do and why is it important?
139609
What are the different types of codings available for categorical variables (in R) and when would you use them?
124008
Correct way to use multiple itemtypes in Microdata
3989
Preprocess categorical variables with many values
34923
How does leave-one-out cross-validation work? How to select the final model out of $n$ different models?
83430
Can I mix different data transformations in the same model?
91448
Should I normalize all data prior feeding the neural network models?
14090
Correct way to define Python source code encoding
134322
How to encode categorical variables for neural networks
78609
On the identity map requirement in the definition of category
133605
A word that describes both "encoding" and "decoding"?
1731
Estimate model with dummies for whole sample versus model without dummies for each subsample
7978
How to initialize EM-algorithm when trying to fit data to a separable mixture model?
155648
Should final (production ready) model be trained on complete data or just on training set?
92566
Dummy coding for contrasts: 0,1 vs. 1,-1
83657
How should I implement this interaction between a continuous and categorical predictor?