A Practical Approach to Timeseries Forecasting Using Python - Scaling

The video tutorial explains how to use the standard scaler for data normalization. It covers importing the standard scaler, fitting the data, transforming it, and checking the results. The tutorial also discusses entering and verifying train X and train Y values, emphasizing the importance of data shape in the process.

How can you verify the shape of the data frame after scaling?

What steps are involved in entering train X and train Y values in the project?