Python for Deep Learning - Build Neural Networks in Python - Label Encoding Using Scikit-Learn

The video tutorial explains the process of encoding categorical data into numerical form, essential for machine learning algorithms. It introduces label encoding and one hot encoding, using the Sklearn library in Python. The tutorial demonstrates label encoding on gender data, converting 'female' and 'male' into 0 and 1, respectively. It also covers one hot encoding for geographical data, transforming countries into numerical arrays. Practical examples in Jupyter Notebook illustrate these encoding techniques.

What library is mentioned as the most robust for machine learning in Python?

What values are assigned to female and male after label encoding?