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Time Series Analysis with Seasonal Data

Case Study in Travel Business

Cheuk Ting Ho

Tuesday 18th, 12:00 (Ferrier Hall)

A talk (25 minutes)

For time series analysis, everyone’s talking about ARIMA or Holt-Winters. But there’s other models which could also break down a seasonal series into trend, seasonality and noise. We will use an open source Python library called Seasonal to analyse B2B worldwide travel data.

  • The speaker suggested this session is suitable for data scientists.

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