Deep Learning - Computer Vision for Beginners Using PyTorch - Imputation

The video tutorial covers the concept of data imputation, focusing on handling null values in data frames using the Pandas library. It explains the importance of imputation to avoid data loss, demonstrates how to import data, identify null values, and calculate the mean for imputation. The tutorial also shows how to use the fillna method to replace null values with the mean, ensuring data integrity. The session concludes with a brief introduction to upcoming topics, including the Matplotlib library.

What method is used to fill null values in a data frame with the mean?

What is the significance of the 'in place' parameter in the fillna method?