Time Series Analysis with Seasonal Data

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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.
  1. PyCon UK
  2. python
  3. programming
  4. conference
  5. pyconuk
  6. pyconuk2018
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