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meltyyyyy
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ICR-2023
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ふりかえり
#36
TanimotoRui
opened
1 year ago
0
ごめんちょっと遅れる
#35
meltyyyyy
opened
1 year ago
0
ポストプロセスを実施する
#34
meltyyyyy
closed
1 year ago
0
ポストプロセスを実施する
#33
meltyyyyy
opened
1 year ago
2
[add]expos
#32
TanimotoRui
closed
1 year ago
0
提出について
#31
TanimotoRui
closed
1 year ago
1
教師なし学習による次元削減を試す
#30
meltyyyyy
closed
1 year ago
6
集約特徴量の追加と削減による精度変化を調査する
#29
meltyyyyy
closed
1 year ago
3
予測分布の可視化を行う
#28
meltyyyyy
closed
1 year ago
7
アンサンブル手法の探索
#27
TanimotoRui
closed
1 year ago
7
特徴量を減らす
#26
meltyyyyy
closed
1 year ago
0
LightGBMの特徴量重要度による特徴量削減を試す
#25
meltyyyyy
closed
1 year ago
7
ipynbをpyへ変換するスクリプトの作成
#24
meltyyyyy
closed
1 year ago
0
ルールベースのアプローチ
#23
meltyyyyy
closed
1 year ago
0
DUカラム活用によるルールベースのアプローチを試す
#22
meltyyyyy
closed
1 year ago
8
requirements.txtを追加する
#21
meltyyyyy
closed
1 year ago
0
ローカルのDockerの環境構築
#20
meltyyyyy
closed
1 year ago
1
谷本稼働不安定スケジュール
#19
TanimotoRui
closed
1 year ago
1
複数モデルの精度比較
#18
TanimotoRui
closed
1 year ago
5
16 特徴選択
#17
TanimotoRui
closed
1 year ago
0
特徴選択
#16
TanimotoRui
closed
1 year ago
1
balanced log losと特徴選択の記事
#15
TanimotoRui
closed
1 year ago
1
ChatGPTのCode InterpreterによるEDAを試してみる
#14
meltyyyyy
closed
1 year ago
3
ロバストなCVの実装をする
#13
meltyyyyy
closed
1 year ago
3
【add file】exp002の追加
#12
TanimotoRui
closed
1 year ago
1
K-Means&集約特徴量の追加
#11
TanimotoRui
closed
1 year ago
10
update down-sampling baseline
#10
TanimotoRui
closed
1 year ago
2
try stratified down sampling
#9
TanimotoRui
closed
1 year ago
0
stratified down-sampling
#8
TanimotoRui
closed
1 year ago
3
実装アイデアv1
#7
TanimotoRui
closed
1 year ago
4
CVを実装する
#6
meltyyyyy
closed
1 year ago
4
Kaggle Notebook | ICR 2023: Single LGBM 0.12 CV 0.16 LB | Version 1
#5
meltyyyyy
closed
1 year ago
0
post processing
#4
TanimotoRui
closed
1 year ago
3
Discussionの内容をキャッチアップする
#3
meltyyyyy
closed
1 year ago
17
Baseline
#2
TanimotoRui
closed
1 year ago
1
コンペの特徴について
#1
TanimotoRui
closed
1 year ago
1