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Many features commonly found in datasets are cyclical in nature. The best example of such a feature is of course time: months, days, weekdays, hours, minutes, seconds etc. are all cyclical in nature. Other examples include features such as seasons, tidal and astrological data.
Many features commonly found in datasets are cyclical in nature. The best example of such a feature is of course time: months, days, weekdays, hours, minutes, seconds etc. are all cyclical in nature. Other examples include features such as seasons, tidal and astrological data.
For more information please check the Kaggle kernel:
https://www.kaggle.com/avanwyk/encoding-cyclical-features-for-deep-learning
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