WIT applied to a transformed dataset

We carried out a full what-if XAI investigation from scratch. We then transformed the data of the U.S. census sample. Now, let's explore the transformed data using Google's WIT tool.

The first step is to load our transformed dataset from GitHub, or you can choose to use Google Drive by setting repository to "google":

# @title Importing data <br>
# Set repository to "github"(default) to read the data
# from GitHub <br>
# Set repository to "google" to read the data
# from Google {display-mode: "form"}
import os
from google.colab import drive
# Set repository to "github" to read the data from GitHub
# Set repository to "google" to read the data from Google
repository = "github"
if repository == "github":
  !curl -L https://raw.githubusercontent.com/PacktPublishing/Hands-On-Explainable-AI-XAI-with-Python/master/Chapter05/adult_train.csv --output...