https://github.com/prpriesler/time-series-analysis-forecasting

This project presents a dual-phase analysis leveraging Python for two disparate datasets. In the initial segment, an exhaustive time series analysis is conducted on historical weather data sourced from Dublin Airport.
https://github.com/prpriesler/time-series-analysis-forecasting

acf-pacf exponential-smoothing forecasting seasonality statistics time-series-analysis tripleexponentialsmoothing

Last synced: 8 months ago
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This project presents a dual-phase analysis leveraging Python for two disparate datasets. In the initial segment, an exhaustive time series analysis is conducted on historical weather data sourced from Dublin Airport.

• Host: GitHub
• URL: https://github.com/prpriesler/time-series-analysis-forecasting
• Owner: PRPRIESLER
• License: mit
• Created: 2024-08-27T00:24:16.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-08-27T00:51:36.000Z (almost 2 years ago)
• Last Synced: 2024-12-28T00:42:45.603Z (over 1 year ago)
• Topics: acf-pacf, exponential-smoothing, forecasting, seasonality, statistics, time-series-analysis, tripleexponentialsmoothing
• Language: Jupyter Notebook
• Homepage:
• Size: 5.41 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# Time-Series-Analysis-Forecasting

This project presents a dual-phase analysis leveraging Python for two disparate datasets. In the initial segment, an exhaustive time series analysis is conducted on historical weather data sourced from Dublin Airport.