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We discussed time series analysis in this tutorial, which has given us the understanding that time series models first recognize the trend and seasonality from the existing observations and then forecast a value based on this trend and seasonality. 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, climate 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.

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