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HANDS-ON TIME SERIES ANALYSIS WITH PYTHON IBD

ASHISH PATEL / B V VISHWAS
APRESS
08 / 2020
9781484259917
Inglés

Sinopsis

Learn the concepts of time series from traditional to bleeding-edge techniques.á This book uses comprehensive examples to clearly illustrateástatistical approaches and methods of analyzing time series data and its utilization in the real world. All the code is available in Jupyter notebooks.YouâÇÖll begin by reviewing time series fundamentals, the structure of time series data, pre-processing, and how to craft the features through data wrangling. Next, youâÇÖll look at traditional time series techniques like ARMA, SARIMAX, VAR, and VARMA using trending framework like StatsModels and pmdarima.áThe 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, youâÇÖll be able to apply these new techniques in industries, such as oil and gas, robotics, manufacturing, government, banking, retail, healthcare, and more.áWhat YouâÇÖll Learn:·á Explains basics to advanced concepts of time series·á How to design, develop, train, and validate time-series methodologies·á What are smoothing, ARMA, ARIMA, SARIMA,SRIMAX, VAR, VARMAátechniques in time series and how to optimally tune parameters to yield best results·á Learn how to leverage bleeding-edge techniques such as ANN, CNN, RNN, LSTM, GRU, Autoencoderá to solve both Univariate and multivariate problems by using two types of data preparation methods for time series.·á Univariate and multivariate problem solving using fbprophet. Who This Book Is ForData scientists, data analysts, financial analysts, and stock market researchers