A Practical Approach to Timeseries Forecasting Using Python - Manipulation for Forecasting

The video tutorial explains how to convert dates into a specific format using the PD 2_date time library. It then demonstrates selecting the 'births' column from a data frame and saving it in float format. The tutorial proceeds to plot the data using a line plot and finally scales the data using Standard Scaler to prepare it for LSTM, ensuring the values are normalized and scaled.

Describe the process of saving the data frame for training.

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What is the significance of scaling the data for LSTM?

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