https://www.kaggle.com/headsortails/nyc-taxi-eda-update-the-fast-the-curious/notebook
This is the kernel by Heads or Tails.
The kernel sets out by borrowing heavily from the explanations and methods outlined in my WikiTrafficForecast kernel.
For a more detailed exploration of ARIMA models take a look at this Kernel by TimLee.
https://towardsdatascience.com/my-secret-sauce-to-be-in-top-2-of-a-kaggle-competition-57cff0677d3c
2018.3 Stair Lab material by Recruit Technologies
https://speakerdeck.com/smly/detafen-xi-kontesutofalse-sheng-zhe-jie-da-karaxue-bu
Table data compe tips: https://naotaka1128.hatenadiary.jp/entry/kaggle-compe-tips
Tutorial material by curry: https://note.mu/currypurin/n/nf390914c721e