A Practical Approach to Timeseries Forecasting Using Python - Feature Engineering

The video tutorial covers feature engineering in time series data, focusing on handling missing values, outliers, and coding categorical features. It demonstrates extracting date components like day, month, and year, and performing numerical transformations such as rounding decimals. The tutorial concludes with an introduction to stationarity in time series analysis.

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