When working with categorical data in machine learning, it’s crucial to convert these variables into a numerical format that algorithms can understand. Two commonly used techniques for encoding categorical variables are one-hot encoding (OHE) and label encoding. Choosing the appropriate encoding method can significantly impact the performance of a machine learning model. In this article, … Continue reading One Hot Encoding vs Label Encoding in Machine Learning