panda categorical data into numerica
sex = train_dataset['Sex'].replace(['female','male'],[0,1])
print(sex)panda categorical data into numerica
sex = train_dataset['Sex'].replace(['female','male'],[0,1])
print(sex)pandas categorical to numeric
#this will label as one hot vectors (origin is split into 3 columns - USA, Europe, Japan and any one place will be 1 while the others are 0)
dataset['Origin'] = dataset['Origin'].map({1: 'USA', 2: 'Europe', 3: 'Japan'})Copyright © 2021 Codeinu
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