Time Series 简明教程
Discuss Time Series
时间序列是某个时期内一系列观测值。我们所有人每天都会遇到的时间序列的最简单的例子是全天、全周、全月或全年的温度变化。
A 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.
对时间数据的分析能够让我们深入了解变量如何随时间变化。
The analysis of temporal data is capable of giving us useful insights on how a variable changes over time.
本教程将教你如何借助各种统计和机器学习模型以详尽且易于理解的方式分析和预测时间序列数据！
This tutorial 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!