EAN: 9781484259917

HANDS-ON TIME SERIES ANALYSIS WITH PYTHON - B V...

Learn the concepts of time series from traditional to bleeding-edge techniques. This book uses
comprehensive examples to clearly illustrate statistical approaches and methods of analyzing
time series data and its utilization in the real world. All the code is available in Jupyter
notebooks. You'll begin by reviewing time series fundamentals  the structure of time series
data  pre-processing  and how to craft the features through data wrangling. Next  you'll look
at traditional time series techniques like ARMA  SARIMAX  VAR  and VARMA using trending
framework like StatsModels and pmdarima. The book also explains building classification models
using sktime  and covers advanced deep learning-based techniques like ANN  CNN  RNN  LSTM  GRU
and Autoencoder to solve time series problem using Tensorflow. It concludes by explaining the
popular framework fbprophet for modeling time series analysis. After reading Hands-On Time
Series Analysis with Python  you'll be able to apply these new techniques in industries  such
as oil and gas  robotics  manufacturing  government  banking  retail  healthcare  and more.
What You'll Learn: · Explains basics to advanced concepts of time series · How to design 
develop  train  and validate time-series methodologies · What are smoothing  ARMA  ARIMA 
SARIMA SRIMAX  VAR  VARMA techniques in time series and how to optimally tune parameters to
yield best results · Learn how to leverage bleeding-edge techniques such as ANN  CNN  RNN  LSTM
GRU  Autoencoder to solve both Univariate and multivariate problems by using two types of data
preparation methods for time series. · Univariate and multivariate problem solving using
fbprophet. Who This Book Is ForData scientists  data analysts  financial analysts  and stock
market researchers

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