Label vs One-Hot Encoding in ML with 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/modules/generated/sklearn.preprocessing.LabelEncoder.html

*More information on one-hot encoding: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.get_dummies.html

*Machine learning in 10 minutes: https://www.youtube.com/playlist?list=PLAy8nZQgaqPHQRb-t0G9mfrCOYAGFyoV6

*Python in 10 minutes: https://www.youtube.com/playlist?list=PLAy8nZQgaqPFhZn8dKhlLWQ5SxaS0ssS6

*Pandas in 10 minutes: https://www.youtube.com/playlist?list=PLAy8nZQgaqPFaTzBAaIiby4pLZD-dlb_E

*Visualization in 10 minutes : https://www.youtube.com/playlist?list=PLAy8nZQgaqPE1_LauWGN5sh5g_LNRcQ0k