When working with categorical data in machine learning, it is essential to convert these variables into a numerical format that algorithms can understand. Two commonly used techniques for encoding categorical variables are one-hot and label encoding. Choosing the appropriate encoding method can significantly impact the performance of a ML model. In this article, we will … Continue reading One Hot Encoding vs. Label Encoding using Scikit-Learn