This machine learning tutorial is all about label encoding. Since we are dealing with scikit-learn here, we are going to work on the very classical iris dataset in which flowers are labeled into three categories:
We are going to encode them the following way: 0 => setosa, 1 => versicolor, 2 => virginica. We are using the LabelEncoder in scikit-learn, which does the encoding automatically.
To verify the encoding, we will be creating more labels of the same in a Python list, and then apply our encoder over them. Ultimately, we'll verify by printing out the encoded list and see if it corresponds with the labels.
Label Encoding is a preprocessing method that is used in many machine learning projects as it makes the training process more efficiently. Please see the video below for the complete tutorial.
@cristiCristi Vlad Self-Experimenter and Author
