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
Selected Reading
- Who is Who
- Computer Glossary
- HR Interview Questions
- Effective Resume Writing
- Questions and Answers
- UPSC IAS Exams Notes
Time Series - Applications
Time Series - Apppcations
We discussed time series analysis in this tutorial, which has given us the understanding that time series models first recognize the trend and seasonapty from the existing observations and then forecast a value based on this trend and seasonapty. Such analysis is useful in various fields such as −
Financial Analysis − It includes sales forecasting, inventory analysis, stock market analysis, price estimation.
Weather Analysis − It includes temperature estimation, cpmate change, seasonal shift recognition, weather forecasting.
Network Data Analysis − It includes network usage prediction, anomaly or intrusion detection, predictive maintenance.
Healthcare Analysis − It includes census prediction, insurance benefits prediction, patient monitoring.