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Top 23 Jupyter Notebook Statistic Projects
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Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Project mention: Probabilistic Programming and Bayesian Methods for Hackers (2013) | news.ycombinator.com | 2024-02-10 -
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cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
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ML-foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
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imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Project mention: PiML: Python Interpretable Machine Learning Toolbox | news.ycombinator.com | 2024-11-05[2] https://github.com/csinva/imodels/issues/129
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fecon235
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
Project mention: Financial Economics: Financial Economics Models. Extended Research - star count:1033.0 | /r/algoprojects | 2023-12-10 -
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DataScienceProjects
The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.
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Basic-Mathematics-for-Machine-Learning
The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI
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Project mention: Revealing causal links in complex systems: New algorithm shows hidden influences | news.ycombinator.com | 2024-11-12
> Decomposition of causality: It decomposes causal interactions into redundant, unique, and synergistic contributions.
Seen elsewhere: https://github.com/BCG-X-Official/facet, which uses SHAP attributions as inputs:
> The SHAP implementation is used to estimate the shapley vectors which FACET then decomposes into synergy, redundancy, and independence vectors.
But FACET it still about sorting things out in the 'correlation world'.
To get back to SURD: IMHO, when talking about causality one should incorporate some kind of precedence, or order; One thing is the cause of another. Here in SURD they sort of introduce it in a roundabout way by using time's order:
> requiring only pairs of past and future events for analysis
But maybe we could have had fully-fledged custom DAGs, like from here https://github.com/nathanwang000/Shapley-Flow (which don't yet have the redundant/unique/synergistic decomposition)
Also, how do we deal with undetectable "post hoc ergo propter hoc" fallacy, though? (travesting time as causal ordering). How do we deal with confounding? Custom DAGs would have been great.
I'm longing for a SURD/SHAP/FACET/Shapleyflow integration paper. We're so close to it.
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Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
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data-science-learning
Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.
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the-elements-of-statistical-learning
My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
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Econometrics-With-Python
Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly without hustles of derivation and Python codes are straightforward.
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covid19-severity-prediction
Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈
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conformal_classification
Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
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NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Jupyter Notebook Statistics discussion
Jupyter Notebook Statistics related posts
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Towards Backwards-Compatible Data with Confounded Domain Adaptation
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80% faster, 50% less memory, 0% accuracy loss Llama finetuning
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Apple Maps Gradually Winning over Google Maps Users, Report Suggests
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An Introduction to Statistical Learning with Applications in Python
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Andrew Ng's Machine Learning Specialization or Introduction to Statistical Learning? For someone who's comfortable with mathematics.
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Statistics about how many edits are from users from which year? (e.g. in 2022, a little less than 50% of all edits are from people who had their first edit between 2018-2022)
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What is the most performant way to visualize pytorch tensor that stores an image in an interactive manner?
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Index
What are some of the best open-source Statistic projects in Jupyter Notebook? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | Probabilistic-Programming-and-Bayesian-Methods-for-Hackers | 26,860 |
| 2 | probability | 4,271 |
| 3 | cracking-the-data-science-interview | 3,735 |
| 4 | ML-foundations | 3,541 |
| 5 | hyperlearn | 1,867 |
| 6 | imodels | 1,405 |
| 7 | ppde642 | 1,272 |
| 8 | geomstats | 1,266 |
| 9 | fecon235 | 1,138 |
| 10 | lovely-tensors | 1,120 |
| 11 | DataScienceProjects | 690 |
| 12 | edward2 | 679 |
| 13 | Basic-Mathematics-for-Machine-Learning | 665 |
| 14 | facet | 513 |
| 15 | Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera | 469 |
| 16 | data-science-learning | 411 |
| 17 | monad-bayes | 410 |
| 18 | the-elements-of-statistical-learning | 403 |
| 19 | Econometrics-With-Python | 362 |
| 20 | datacamp | 342 |
| 21 | covid19-severity-prediction | 228 |
| 22 | conformal_classification | 227 |
| 23 | ISL-python | 191 |
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