SlokomManel

Pinned Repositories

HR-Attrition
Will they stay or will they go? Predicting whether employees will leave + why.
Language:Jupyter Notebook0 0 00
interpret
Fit interpretable models. Explain blackbox machine learning.
Language:C++0 0 00
metropolitandataRtutorial
R tutorials for Metropolitan Data I course
Language:R0 0 00
movielens-analysis
Analysis and model implementations for movie recommender systems around the MovieLens dataset
Language:Jupyter Notebook0 0 00
PerBlur
Towards User-Oriented Privacy for Recommender System Data: A Personalization-based Approach to Gender Obfuscation for User Profiles
Language:Python1 2 10
SynRec
Partially Synthetic Data Generation for Recommender systems
Language:R9 1 01
zr-obp
Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation
Language:Python0 0 00

SlokomManel's Repositories

SlokomManel/SynRec
Partially Synthetic Data Generation for Recommender systems
Language:R9 1 01
SlokomManel/PerBlur
Towards User-Oriented Privacy for Recommender System Data: A Personalization-based Approach to Gender Obfuscation for User Profiles
Language:Python1 2 10
SlokomManel/HR-Attrition
Will they stay or will they go? Predicting whether employees will leave + why.
Language:Jupyter Notebook0 0 00
SlokomManel/interpret
Fit interpretable models. Explain blackbox machine learning.
Language:C++0 0 00
SlokomManel/metropolitandataRtutorial
R tutorials for Metropolitan Data I course
Language:R0 0 00
SlokomManel/movielens-analysis
Analysis and model implementations for movie recommender systems around the MovieLens dataset
Language:Jupyter Notebook0 0 00
SlokomManel/zr-obp
Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation
Language:Python0 0 00