Deep Learning - Deep Neural Network for Beginners Using Python - One-Hot Encoding (NN Implementation)

The video tutorial covers the process of one hot encoding using pandas, specifically focusing on encoding a 'rank' column. It explains how to use the 'get_dummies' function and the importance of dropping the original column after encoding. The tutorial also addresses error handling, demonstrating how to correct a typo in the code. Finally, it introduces the concept of scaling GRE and GPA scores to ensure uniformity in data analysis.

Why is it necessary to drop the original rank column after one hot encoding?

What steps are mentioned for scaling the GRE and GPA columns?