KaggleDays Tokyo 資料まとめ

2019年12月11日(水) / 12日(木)に開催された[KaggleDays Tokyo](https://kaggledays.com/tokyo/)の資料（スライドなど）のリンクをまとめます。

# Time Table
## 2019年12月11日(水)
### PRESENTATIONS
#### 10:15 - Leveling-up Kaggle Competitions

[![IMAGE ALT TEXT HERE](http://img.youtube.com/vi/UoeEGtMZhko/0.jpg)](http://www.youtube.com/watch?v=UoeEGtMZhko)

#### 10:45 - Essential techniques for tabular competition

[![IMAGE ALT TEXT HERE](http://img.youtube.com/vi/nbcDy1wFWlg/0.jpg)](http://www.youtube.com/watch?v=nbcDy1wFWlg)

#### 13:30 - Imputation Strategy
<blockquote class="twitter-tweet" data-partner="tweetdeck"><p lang="ja" dir="ltr">一日目，お疲れ様でした．<br>私の発表内容を Speaker Deck にup しておきましたので，よろしければご覧ください．<br><br>欠損値補完と，少し minor な内容ではありましたがご清聴ありがとうございました．<br>質問等ありましたら遠慮なくご質問ください．<a href="https://t.co/YzyES3kGIR">https://t.co/YzyES3kGIR</a><a href="https://twitter.com/hashtag/kaggledaystokyo?src=hash&amp;ref_src=twsrc%5Etfw">#kaggledaystokyo</a></p>&mdash; HoxoMaxwell!☃️ (@Maxwell_110) <a href="https://twitter.com/Maxwell_110/status/1204781035935784961?ref_src=twsrc%5Etfw">December 11, 2019</a></blockquote>
<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

- [SpeakerDeck - hoxomaxwell/imputation-strategy-at-kaggle-days-tokyo-maxwell](https://speakerdeck.com/hoxomaxwell/imputation-strategy-at-kaggle-days-tokyo-maxwell)

#### 14:00 - How to encode categorical features for GBDT
<blockquote class="twitter-tweet" data-partner="tweetdeck"><p lang="ja" dir="ltr">昨日の発表資料上げました！<a href="https://t.co/YvOuNtnscI">https://t.co/YvOuNtnscI</a><br><br> <a href="https://twitter.com/hashtag/kaggledaystokyo?src=hash&amp;ref_src=twsrc%5Etfw">#kaggledaystokyo</a></p>&mdash; Jack (@sakata_ryuji) <a href="https://twitter.com/sakata_ryuji/status/1204930443830644736?ref_src=twsrc%5Etfw">December 12, 2019</a></blockquote>
<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

- [SpeakerDeck - rsakata/how-to-encode-categorical-features-for-gbdt](https://speakerdeck.com/rsakata/how-to-encode-categorical-features-for-gbdt)

#### 14:30 - 専業Kagglerの1年半 & LANL Earthquake Prediction

[![IMAGE ALT TEXT HERE](http://img.youtube.com/vi/Z0F7e5eidsk/0.jpg)](http://www.youtube.com/watch?v=Z0F7e5eidsk)

#### 15:15 - Intro to BigQuery ML for Kagglers

[![IMAGE ALT TEXT HERE](http://img.youtube.com/vi/LToweTG9LtA/0.jpg)](http://www.youtube.com/watch?v=LToweTG9LtA)

<blockquote class="twitter-tweet" data-partner="tweetdeck"><p lang="en" dir="ltr">Just gave a talk at <a href="https://twitter.com/hashtag/kaggledaystokyo?src=hash&amp;ref_src=twsrc%5Etfw">#kaggledaystokyo</a> on how to quickly build (AND deploy) ML models using SQL with BigQuery ML. Kagglers can use BQML in <a href="https://twitter.com/hashtag/Kaggle?src=hash&amp;ref_src=twsrc%5Etfw">#Kaggle</a> Notebooks or on AI Platform Notebooks on <a href="https://twitter.com/googlecloud?ref_src=twsrc%5Etfw">@googlecloud</a> for higher computational resources (CPUs, RAM, GPUs) <a href="https://t.co/4Kvgcu8JFb">pic.twitter.com/4Kvgcu8JFb</a></p>&mdash; Polong Lin (@polonglin) <a href="https://twitter.com/polonglin/status/1204667747499528192?ref_src=twsrc%5Etfw">December 11, 2019</a></blockquote>
<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

- [Kaggle Kernel - bigquery-ml-template-intersection-congestion](https://www.kaggle.com/sirtorry/bigquery-ml-template-intersection-congestion)

#### 15:45 - Feature Engineering & GBDT implementation
<blockquote class="twitter-tweet" data-partner="tweetdeck"><p lang="ja" dir="ltr">Kaggle Daysの資料、先にアップしておきます<a href="https://t.co/dAxcvm3Him">https://t.co/dAxcvm3Him</a></p>&mdash; threecourse (@threecourse) <a href="https://twitter.com/threecourse/status/1204566581944012800?ref_src=twsrc%5Etfw">December 11, 2019</a></blockquote>
<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

- [SpeakerDeck - threecourse/kaggle-days-tokyo-feature-engineering-and-gbdt-implementation](https://speakerdeck.com/threecourse/kaggle-days-tokyo-feature-engineering-and-gbdt-implementation)
- [Kaggle Kernel - gbdt-implementation-kaggle-days-tokyo](https://www.kaggle.com/threecourse/gbdt-implementation-kaggle-days-tokyo)
- [Kaggle Kernel - gbdt-implementation-cython-kaggle-days-tokyo](https://www.kaggle.com/threecourse/gbdt-implementation-cython-kaggle-days-tokyo)

#### 16:45 - My Journey To GrandMaster: Success and Failure 

- [SpeakerDeck - JinZhan/kaggle-days-tokyo-jin-zhan-204409794](https://www.slideshare.net/JinZhan/kaggle-days-tokyo-jin-zhan-204409794)

#### 17:30 - How to succeed in code (kernel) competitions

[![IMAGE ALT TEXT HERE](http://img.youtube.com/vi/HCg_ewbNEss/0.jpg)](http://www.youtube.com/watch?v=HCg_ewbNEss)

### WORKSHOP
#### 13:00 - Practical tips for handling noisy data and annotaiton
- [SpeakerDeck - RyuichiKanoh/practical-tips-for-handling-noisy-data-and-annotaiton-204195412](https://www.slideshare.net/RyuichiKanoh/practical-tips-for-handling-noisy-data-and-annotaiton-204195412) 
- [Github - ryuichi0704/workshop_noise_handling](https://github.com/ryuichi0704/workshop_noise_handling)


## あとがき
現状ある情報のみで構成しています。
追加・訂正等が必要があるものはこちらで修正しますので
編集リクエストかコメントで教えて頂けると幸いです。