Pinned Repositories
Causal-Inference-and-Discovery-in-Python
Causal Inference and Discovery in Python by Packt Publishing
circleCI_test
data_engineering_challenge_fp
Short Engineering Challenge for Data Engineer Position
dsr-db
FCBF_module
Fast Correlation-Based Feature Selection
git-tutorial
gi
git_tutorial
GNNs-Recipe
A recipe to study Graph Neural Networks (GNNs)
hello-world
Teaching_Backprop
DSR 20 teaching material for Backprop
EdithSO's Repositories
EdithSO/Teaching_Backprop
DSR 20 teaching material for Backprop
EdithSO/Causal-Inference-and-Discovery-in-Python
Causal Inference and Discovery in Python by Packt Publishing
EdithSO/circleCI_test
EdithSO/data_engineering_challenge_fp
Short Engineering Challenge for Data Engineer Position
EdithSO/dsr-db
EdithSO/FCBF_module
Fast Correlation-Based Feature Selection
EdithSO/git-tutorial
gi
EdithSO/git_tutorial
EdithSO/GNNs-Recipe
A recipe to study Graph Neural Networks (GNNs)
EdithSO/hello-world
EdithSO/Intro_to_Python_DSR
Introduction to Python at Data Science Retreat in Berlin
EdithSO/Mytasks
EdithSO/progen
Official release of the ProGen models
EdithSO/RL-course-DSR
EdithSO/tigramite
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at