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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