Text data is often recorded as a time series with significant variability over time. Some examples of time-series text data include social media conversations, product reviews, research metadata, ...

The PyGPS class is a blueprint for storing data tables associated with GPS time series (time, north/east/up position and displacement, north/east/up uncertainties and correlations, covariance, etc.), ...

Time Series Analysis with Python Cookbook: Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation ... ACF and PACF plots, and decomposing time series data ...

Although it is not easy to predict the time series data due to various factors on which it depends still Python has different machine learning models that can be used to analyze and predict the ...

We will discuss the autocorrelation in two kinds of data sets, one is increasing time series, and the other one is decreasing time series. In increasing time series, we have Google share price data.

Forecast complex time series with multiple seasonal patterns; Who this book is for. This book is for data analysts, business analysts, data scientists, data engineers, or Python developers who want ...