tkamishima
data mining, machine learning, recommender system, fairness-aware; Python, NumPy, SciPy, scikit-learn
Japan
Pinned Repositories
cud
Color palette for Python matplotlib, macOS, and Adobe applications recommended the Color Universal Design Guideline
ibis2014tutorial
The 3rd IBISML Tutorial: sample files
kamfadm
Fairness-aware Data Mining
kamiers
Independence-Enhanced Recommender System
kamrecsys
KamRecSys: a python package of algorithms for recommender systems
meetingbc
学会・勉強会のハイブリッド配信のノウハウ
mlmpy
Machine Learning Meets Python : A tutorial of NumPy / SciPy for machine learners who want to implement their own algotithms in Python (written in Japanese)
recsysdoc
Algorithms of Recommender Systems : A survey paper of recommender systems (written in Japanese)
tkamishima's Repositories
tkamishima/mlmpy
Machine Learning Meets Python : A tutorial of NumPy / SciPy for machine learners who want to implement their own algotithms in Python (written in Japanese)
tkamishima/recsysdoc
Algorithms of Recommender Systems : A survey paper of recommender systems (written in Japanese)
tkamishima/kamfadm
Fairness-aware Data Mining
tkamishima/kamrecsys
KamRecSys: a python package of algorithms for recommender systems
tkamishima/meetingbc
学会・勉強会のハイブリッド配信のノウハウ
tkamishima/cud
Color palette for Python matplotlib, macOS, and Adobe applications recommended the Color Universal Design Guideline
tkamishima/ibis2014tutorial
The 3rd IBISML Tutorial: sample files
tkamishima/kamiers
Independence-Enhanced Recommender System
tkamishima/fit2016tutorial
FIT2016 Tutorial: sample files
tkamishima/forked-numpy
Numpy main repository
tkamishima/forked-scikit-learn
scikit-learn: machine learning in Python