A Practical Approach to Timeseries Forecasting Using Python - Shape and NULL Check

The video tutorial explains how to analyze a dataset by examining its columns, data types, shape, and null values. It demonstrates using commands like DF.columns, DF.shape, and DF.isnull().any() to gather insights. The tutorial also covers preparing the dataset for time series analysis by setting the date column as the index, ensuring no null values are present. The next steps involve converting the dataset into a time series format.

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