Which machine learning algorithm is used on categorical data? Logistic Regression is a classification algorithm so it is best applied to categorical data.
Can you do machine learning with categorical variables? Machine learning models require all input and output variables to be numeric. This means that if your data contains categorical data, you must encode it to numbers before you can fit and evaluate a model.
What Modelling technique should you use if your target variable is categorical? ANOVA, or analysis of variance, is to be used when the target variable is continuous and the dependent variables are categorical.
Which algorithm is used for categorical attributes? KModes clustering is one of the unsupervised Machine Learning algorithms that is used to cluster categorical variables.