Archives for encoding techniques
One hot encoding can be defined as the essential process of converting the categorical data variables to be provided to machine and deep learning algorithms which in turn improve predictions as well as classification accuracy of a model. One Hot Encoding is a common way of preprocessing categorical features for machine learning models.
The post When to Use One-Hot Encoding in Deep Learning? appeared first on Analytics India Magazine.
As machine learning algorithms most often accept only numerical inputs, it is important to encode the categorical variables into some specific numerical values. In this article, we compare the label encoding and one-hot encoding techniques by implementing it in Python. Label Encoding Label encoding is one of the popular processes of converting labels into numeric…
The post Comparing Label Encoding And One-Hot Encoding With Python Implementation appeared first on Analytics India Magazine.