What is One Hot Encoding? Why and When Do You Have to Use it?
Too Long; Didn't Read One Hot Encoding is a process by which categorical variables are converted into a form that could be provided to ML algorithms to do a better job in prediction. The categorical value represents the numerical value of the entry in the dataset. This form of organization presupposes is VW > Acura > Honda based on the categorical values. This is why one hot encoder to perform “binarization” of the feature to train the model to include it as a category. One hot encoding converts ‘flower’s ‘daffil’ and ‘rose’ feature to three features.