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4.5. Label Encoding | Data Pre-Processing | Machine Learning Course

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In this video, I have explained about Label Encoding of Dataset. Label Encoding is an important step in Data Preprocessing in Machine Learning & Data Science.
Label Encoding is a technique that is used to convert categorical columns into numerical ones so that they can be fitted by machine learning models which only take numerical data. It is an important pre-processing step in a machine-learning project.
Label Encoding is a technique that is used to convert categorical columns into numerical ones so that they can be fitted by machine learning models which only take numerical data. It is an important pre-processing step in a machine-learning project.