Use the NumPy Module to Perform One-Hot Encoding on a NumPy Array in Python In this tutorial, we will learn how to perform one-hot encoding on numpy arrays. Therefore, one-hot encoding is a highly used technique for encoding data before using it in an algorithm. However, when it comes to categorical data, some algorithms cannot operate with such data labels and require numeric values. Python has a vast framework available for machine learning. Use the keras Module to Perform One-Hot Encoding on a NumPy Array in Python.Use the pandas Module to Perform One-Hot Encoding on a NumPy Array in Python. ![]() Use the sklearn Module to Perform One-Hot Encoding on a NumPy Array in Python.Use the NumPy Module to Perform One-Hot Encoding on a NumPy Array in Python.
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