Machine Learning Glossary

A B C D E F G H I J K L M N O One-hot encoding One-hot encoding is a way to represent categorical variables as numerical data, so that it can be used in machine learning algorithm. It involves creating a new binary column for each unique category in the categorical feature. For example, if a categorical feature has three categories, A, B, and C. Then three new columns, one for each category would be created....

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