ITO Takafumi's repositories
for_hatenablog
Studying and Writing for blog
githubIO_hub
github.ioで公開しているノートを全部まとめたところ
learning_CLISP
Learning log of Common Lisp
learning_cpp
my milestones for learning c and cpp
learning_Haskell
Haskell Learning
learning_Julia
toybox to become a Julia-er
learning_Python
Sonomama means.
learning_Rust
to learn Rust
MathematicalStatistics
数理統計学のノート。
Mathematics_Decision_Making_with_Python
Python意思決定の数理入門を頑張る
MCMC_from_scratch
ゼロからできるMCMCをRで写経する
Quarto_Trial
Quartoというのがあるらしい。
Real_World_Cryptography
『現代暗号技術入門』の写経を行う
TextMining_and_NLP
Webスクレイピングと自然言語処理環境
awesomebook_v2
前処理大全改訂版のフォーク
causality
『統計的因果推論の理論と実装』(共立出版)で使用したデータです.Codeをクリックして,Download ZIPをクリックすればダウンロードできます.書籍の情報はこちらです.https://www.kyoritsu-pub.co.jp/bookdetail/9784320112452
dat_studies
Leading DAT studies log
GPBoost
Combining tree-boosting with Gaussian process and mixed effects models
kedro_trial
Kedro tutorial for machine learning pipline
Knowledges
my Personal Knowledges
lightweight_mmm
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
MMM_accuracy_test
testing the accuracy and consistency of Media Mixed Model
R_packages
original R packages
RextendRProto
make Rust function to call from R
Robyn
Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) package from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define media channel efficiency a