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Data-science-best-resources
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| looper | Data-science-best-resources | |
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| 235 | 2,762 | |
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looper
Data-science-best-resources
What are some alternatives?
causalnex - A Python library that helps data scientists to infer causation rather than observing correlation.
manjaro-linux - Shell scripts for setting up Manjaro Linux for Python programming and deep learning
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.
100-Days-Of-ML-Code - 100 Days of ML Coding
causalglm - Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
cheat-sheet-pdf - 📜 A Cheat-Sheet Collection from the WWW
datascience - Curated list of Python resources for data science.
free-data-science-books - Free resources for learning data science
causal-learn - Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
IntRo - Introduction to R for health data
HumesGuillotine - Hume's Guillotine: Beheading the social pseudo-sciences with the Algorithmic Information Criterion for CAUSAL model selection.
data-science-blogs - A curated list of data science blogs