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Time Series Analysis

[taɪm ˈsɪəriːz əˈnæləsɪs]
Data Science
Last updated: December 9, 2024

Definition

The study of data points collected over time to identify trends patterns and predictions.

Detailed Explanation

Time series analysis focuses on temporal data structures incorporating concepts like seasonality trend and cyclical patterns. It uses specialized techniques such as ARIMA exponential smoothing and spectral analysis to model and forecast time-dependent data.

Use Cases

1. Stock price prediction 2. Weather forecasting 3. Sales forecasting 4. Energy consumption analysis

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