Kaggle

Exercise

1: NYC Taxi Distance Prediction by XGBoost(-2018/10/01)

https://www.kaggle.com/headsortails/nyc-taxi-eda-update-the-fast-the-curious/notebook

2: Recruit Customer Number prediction

This is the kernel by Heads or Tails.

Forecasting methods

The kernel sets out by borrowing heavily from the explanations and methods outlined in my WikiTrafficForecast kernel.

ARIMA Example

For a more detailed exploration of ARIMA models take a look at this Kernel by TimLee.

Tutorial

Blog post

https://towardsdatascience.com/my-secret-sauce-to-be-in-top-2-of-a-kaggle-competition-57cff0677d3c

Speakerdeck

2018.3 Stair Lab material by Recruit Technologies
https://speakerdeck.com/smly/detafen-xi-kontesutofalse-sheng-zhe-jie-da-karaxue-bu

Blog posts

Table data compe tips: https://naotaka1128.hatenadiary.jp/entry/kaggle-compe-tips
Tutorial material by curry: https://note.mu/currypurin/n/nf390914c721e