EdithSO

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/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