A Practical Approach to Timeseries Forecasting Using Python - Dataset Division

The video tutorial explains how to create and manipulate two lists, train X and train Y, for a machine learning model. It covers setting future and past values, defining a range for these lists, and appending values to them. The tutorial also demonstrates converting these lists into arrays and understanding their shapes. Finally, it introduces the implementation of an LSTM model.

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