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oskar75's Projects

apes icon apes

APES - Advice for Problems in Environmental Statistics

blog icon blog

I often post solutions to textbook exercises, including: Bayesian Data Analysis (BDA) by Gelman et al; Causal Inference in Statistics Primer (CISP) by Pearl et al; Purely Functional Data Structures (PFDS) by Okasaki.

causing icon causing

Causing: CAUsal INterpretation using Graphs

cpp_liste icon cpp_liste

All that has to do with lists in the CPP course

databook_python icon databook_python

IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by J. Nathan Kutz and Steven L. Brunton

deep-learning-drizzle icon deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

dowhy icon dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

dsnd_term1 icon dsnd_term1

Contains files related to content and project of DSND

fastbook icon fastbook

The fastai book, published as Jupyter Notebooks

pandas-videos icon pandas-videos

Jupyter notebook and datasets from the pandas Q&A video series

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