Book description
· 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.
Table of contents
- Cover
- Front Matter
- 1. Time-Series Characteristics
- 2. Data Wrangling and Preparation for Time Series
- 3. Smoothing Methods
- 4. Regression Extension Techniques for Time-Series Data
- 5. Bleeding-Edge Techniques
- 6. Bleeding-Edge Techniques for Univariate Time Series
- 7. Bleeding-Edge Techniques for Multivariate Time Series
- 8. Prophet
- Back Matter
Product information
- Title: Hands-on Time Series Analysis with Python: From Basics to Bleeding Edge Techniques
- Author(s):
- Release date: August 2020
- Publisher(s): Apress
- ISBN: 9781484259924
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