Data-science-best-resources
looper
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| Data-science-best-resources | looper | |
|---|---|---|
| 2 | 2 | |
| 2,755 | 235 | |
| - | - | |
| 0.0 | 7.3 | |
| 3 months ago | about 2 months ago | |
| MIT License | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Data-science-best-resources
looper
What are some alternatives?
manjaro-linux - Shell scripts for setting up Manjaro Linux for Python programming and deep learning
causalnex - A Python library that helps data scientists to infer causation rather than observing correlation.
100-Days-Of-ML-Code - 100 Days of ML Coding
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.
cheat-sheet-pdf - 📜 A Cheat-Sheet Collection from the WWW
causalglm - Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
free-data-science-books - Free resources for learning data science
datascience - Curated list of Python resources for data science.
IntRo - Introduction to R for health data
causal-learn - Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
data-science-blogs - A curated list of data science blogs
HumesGuillotine - Hume's Guillotine: Beheading the social pseudo-sciences with the Algorithmic Information Criterion for CAUSAL model selection.