Alternatives and similar repositories for ysaito-qiita

Users that are interested in ysaito-qiita are comparing it to the libraries listed below

• iwanami-datascience / vol3
  ☆14Updated 9 years ago
• amaotone / atmaCup-5
  atmaCup #5 solution (Public: 2nd, Private: 6th)
  ☆54Updated 5 years ago
• upura / ayniy
  Ayniy, All You Need is YAML
  ☆52Updated 2 years ago
• shyaginuma / cibook-study-python
  効果検証入門のコードをPythonで実装しました。
  ☆19Updated 5 years ago
• ghmagazine / ml_design_book
  ☆48Updated 3 years ago
• nekoumei / cibook-python
  ☆55Updated 3 years ago
• takashioya / plasticc
  PLAsTiCC Astronomical Classification 3rd-place solution
  ☆14Updated 2 years ago
• shyaginuma / casual_inference
  Do causal inference more casually.
  ☆25Updated 2 months ago
• nejumi / tools_for_kaggle
  They are tools for Kaggle competition for me
  ☆27Updated 5 years ago
• nyanp / nyaggle
  Code for Kaggle and Offline Competitions
  ☆294Updated last year
• amaotone / kaggle-memo
  Tips for data science competitions (e.g. Kaggle, SIGNATE)
  ☆56Updated 5 years ago
• tohtsky / irspack
  Train, evaluate, and optimize implicit feedback-based recommender systems.
  ☆31Updated last month
• Anguschang582 / Probspace---Re_estate---1st-place-solution
  1st place solution of "Re：不動産取引価格予測" competition on Probspace
  ☆10Updated 4 years ago
• vaaaaanquish / nishika_akutagawa_2nd_prize
  nishika akutagawa compedition 2nd prize : https://www.nishika.com/competitions/1/summary
  ☆26Updated 5 years ago
• upura / knnFeat
  Python Implementation of Feature Extraction with K-Nearest Neighbor
  ☆66Updated 2 years ago
• takapy0210 / ml_pipeline
  データ分析コンペの学習・推論パイプライン
  ☆36Updated 5 years ago
• st-tech / zr-obp
  Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation
  ☆675Updated last year
• MasashiSode / mcs_kfold
  mcs_kfold stands for "monte carlo stratified k fold". This library attempts to achieve equal distribution of discrete/categorical variabl…
  ☆55Updated 4 years ago
• ghmagazine / cibook
  ☆112Updated last year
• Ynakatsuka / kaggle_utils
  My utility scripts for Kaggle competitions
  ☆119Updated 4 years ago
• upura / papers
  What I read
  ☆23Updated 7 years ago
• nyk510 / gradient-boosted-decision-tree
  GBDT (Gradient Boosted Decision Tree: 勾配ブースティング) のpythonによる実装
  ☆50Updated 2 years ago
• m3dev / redshells
  Machine learning tasks which are used with data pipeline library "luigi" and its wrapper "gokart".
  ☆44Updated last year
• osuossu8 / CommonLitReadabilityPrize
  ☆14Updated 4 years ago
• e-mon / lish-moa
  ☆20Updated 4 years ago
• retrieva / python_stm
  ☆15Updated 5 years ago
• nyk510 / vivid
  Support Tools for Machine Learning VIVIDLY
  ☆41Updated 2 years ago
• ryuichi0704 / workshop_noise_handling
  ☆16Updated 5 years ago
• HOXOMInc / feature-engineering-book
  『機械学習のための特徴量エンジニアリング』のサンプルコード集
  ☆85Updated 5 years ago
• nejumi / kaggle_memo
  ☆247Updated 8 years ago