Machine learning feature engineering: Label encoding Vs One-Hot encoding (using Scikit-learn)
In this tutorial, you will learn how to apply Label encoding & One-hot encoding using Scikit-learn and pandas. Encoding is a method to convert categorical variable into numerical variables, which is going to create better features for machine learning models, ready to learn in just than 10 minutes?
*More information on label encoding: https://scikit-learn.org/stable/modul...
*More information on one-hot encoding: https://pandas.pydata.org/pandas-docs...
*Machine learning in 10 minutes: • Machine learning
*Python in 10 minutes: • Python in 10 minutes
*Pandas in 10 minutes: • Pandas in 10 minutes
*Visualization in 10 minutes : • Visualization in 10 minutes
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