Time Series for Data Science
Analysis and Forecasting
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ISBN-13:
9780367543891
Veröffentl:
2024
Erscheinungsdatum:
27.05.2024
Seiten:
528
Autor:
Bivin Philip Sadler
Gewicht:
966 g
Format:
254x179x33 mm
Sprache:
Englisch
Beschreibung:
Practical Time Series Analysis for Data Science is an accessible guide that doesn't require a background in calculus to be engaging but does not shy away from deeper explanations of the techniques discussed.
1. Working with Data Collected Over Time, 2. Exploring Time Series Data, 3. Statistical Basics for Time Series Analysis, 4. The Frequency Domain, 5. ARMA Models, 6. ARMA Fitting and Forecasting, 7. ARIMA, Seasonal,and ARCH/GARCH Models, 8. Time Series Regression, 9. Model Assessment, 10. Multivariate Time Series, 11. Deep Neural Network Based Time Series Models
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