How can we preprocess categorical data in a regression problem using TensorFlow?
Saturday, 05 August 2023
by EITCA Academy
Preprocessing categorical data in a regression problem using TensorFlow involves transforming categorical variables into numerical representations that can be used as input for a regression model. This is necessary because regression models typically require numerical inputs to make predictions. In this answer, we will discuss several techniques commonly used to preprocess categorical data in a
- Published in Artificial Intelligence, EITC/AI/TFF TensorFlow Fundamentals, TensorFlow in Google Colaboratory, Using TensorFlow to solve regression problems, Examination review
Tagged under:
Artificial Intelligence, Categorical Data, One-hot Encoding, Ordinal Encoding, Preprocessing, Regression, TensorFlow

