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Time Series with Python: Practical Time Series Analysis, Forecasting, Prediction and Machine Learning Models with Python. (English Edition) de Jim Smith

Descripción - Time Series Analysis with PythonA time series is a sequence of observations over a certain period. The simplest example of a time series that all of us come across on a day to day basis is the change in temperature throughout the day or week or month or year.The analysis of temporal data is capable of giving us useful insights on how a variable changes over time.This book will teach you how to analyze and forecast time series data with the help of various statistical and machine learning models in elaborate and easy to understand way!This book is for those who are looking to understand time series and time series forecasting models from scratch. At the end of this book you will have a good understanding on time series modelling.What you will Learn:IntroductionData Processing and VisualizationModelingParameter CalibrationNaïve MethodsMoving AverageARIMAExponential SmoothingWalk Forward ValidationProphet ModelLSTM ModelError MetricsApplicationsTags:--time series prediction pythonmultivariate time series forecasting pythontime series analysis in python with statsmodelstime series machine learning pythonpython time series prediction examplepython resample time seriestime series model python

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Detalles del Libro

• Name: Time Series with Python: Practical Time Series Analysis, Forecasting, Prediction and Machine Learning Models with Python. (English Edition)
  
• Autor: Jim Smith
  
• Categoria: Tienda Kindle,eBooks Kindle,eBooks en idiomas extranjeros
  
• Tamaño del archivo: 12 MB
  
• Tipos de archivo: PDF Document
  
• Idioma: Español
  
• Archivos de estado: AVAILABLE
  

Download Time Series with Python: Practical Time Series Analysis, Forecasting, Prediction and Machine Learning Models with Python. (English Edition) de Jim Smith PDF [ePub Mobi] Gratis

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