Encoding techniques
In the slides, we discussed two encoding techniques: label encoding and one-hot encoding. In practice, the technique that you use is determined by the situation at hand. That being said, you should have both of these at your disposal for your interview.
In this exercise, you'll practice implementing both of these techniques on the same dataset of laptop prices that you saw earlier, pre-loaded within the laptops variable.
This exercise is part of the course
Practicing Statistics Interview Questions in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
from sklearn import preprocessing
# Create the encoder and print our encoded new_vals
encoder = preprocessing.LabelEncoder()
new_vals = encoder.fit_transform(____)
print(____)