Time Series Tutorial
Selected Reading
- Time Series - Discussion
- Time Series - Useful Resources
- Time Series - Quick Guide
- Time Series - Further Scope
- Time Series - Applications
- Time Series - Error Metrics
- Time Series - LSTM Model
- Time Series - Prophet Model
- Time Series - Walk Forward Validation
- Time Series - Exponential Smoothing
- Time Series - Variations of ARIMA
- Time Series - ARIMA
- Time Series - Moving Average
- Time Series - Auto Regression
- Time Series - Naive Methods
- Time Series - Parameter Calibration
- Time Series - Modeling
- Data Processing & Visualization
- Time Series - Python Libraries
- Time Series - Programming Languages
- Time Series - Introduction
- Time Series - Home
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- Who is Who
- Computer Glossary
- HR Interview Questions
- Effective Resume Writing
- Questions and Answers
- UPSC IAS Exams Notes
Time Series - Introduction
Time Series - Introduction
A time series is a sequence of observations over a certain period. A univariate time series consists of the values taken by a single variable at periodic time instances over a period, and a multivariate time series consists of the values taken by multiple variables at the same periodic time instances over a 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.
The analysis of temporal data is capable of giving us useful insights on how a variable changes over time, or how it depends on the change in the values of other variable(s). This relationship of a variable on its previous values and/or other variables can be analyzed for time series forecasting and has numerous apppcations in artificial intelpgence.
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