Advanced Techniques for Time Series Data Feature Engineeringby@teenl0ve
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5,185 reads

Advanced Techniques for Time Series Data Feature Engineering

by Valentine Shkulov5mMay 4th, 2023
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This article discusses advanced techniques for time series feature engineering, such as Fourier transform, wavelet transformation, derivatives, and autocorrelation. These methods help uncover hidden structures, capture time and frequency information, and measure linear relationships between data points, thereby enhancing the performance of machine learning models.
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Valentine Shkulov

Valentine Shkulov

@teenl0ve

Data Science expert with desire to help companies advance by applying AI for process improvements.

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Valentine Shkulov HackerNoon profile picture
Valentine Shkulov@teenl0ve
Data Science expert with desire to help companies advance by applying AI for process improvements.

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