Jupyter Notebook Statistics

Open-source Jupyter Notebook projects categorized as Statistics

Top 23 Jupyter Notebook Statistic Projects

  • 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: [Q] Bayesian statistics! | /r/statistics | 2023-06-11

    Also this is quite nice practical introduction which might help with finding answers to your questions: https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

  • probability

    Probabilistic reasoning and statistical analysis in TensorFlow

    Project mention: How often do you see Bayesian Statistics or Stan in the DS world? Essential skill or a nice to have? | /r/datascience | 2023-06-17


  • SonarLint

    Clean code begins in your IDE with SonarLint. Up your coding game and discover issues early. SonarLint is a free plugin that helps you find & fix bugs and security issues from the moment you start writing code. Install from your favorite IDE marketplace today.

  • cracking-the-data-science-interview

    A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

    Project mention: Can someone recommend some website for data science interview preparation | /r/datascience | 2023-06-02
  • ML-foundations

    Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

    Project mention: Worried about Calculus | /r/OMSA | 2023-04-01

    As others have said, you won't need calculus immediately, but it's important that you make a good attempt at learning up to Calc3. I also didn't have a math heavy undergrad so it took a lot of self-study for me, but it's possible. Simulation has a great math boot camp at the beginning to review everything but you'll want to be prepped with Calc before that because that class is all calculus based probability. Some other good resources are the 3Blue1Brown videos on YouTube. They have a great series for both calc & linear algebra to talk through all the intuition with visuals. I also really like John Krohns series because you code through the math which is very applicable for us in this program. I only did his linear Algebra, but he has a whole series with Calc and probability, too. https://github.com/jonkrohn/ML-foundations

  • hyperlearn

    2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

  • ppd599

    USC urban data science course series with Python and Jupyter

    Project mention: ppd599: NEW Courses - star count:1172.0 | /r/algoprojects | 2022-12-17
  • imodels

    Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

    Project mention: [D] Have researchers given up on traditional machine learning methods? | /r/MachineLearning | 2023-01-31

    - all domains requiring high interpretability absolutely ignore deep learning at all, and put all their research into traditional ML; see e.g. counterfactual examples, important interpretability methods in finance, or rule-based learning, important in medical or law applications

  • Mergify

    Updating dependencies is time-consuming.. Solutions like Dependabot or Renovate update but don't merge dependencies. You need to do it manually while it could be fully automated! Add a Merge Queue to your workflow and stop caring about PR management & merging. Try Mergify for free.

  • 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:915.0 | /r/algoprojects | 2023-06-10
  • lovely-tensors

    Tensors, ready for human consumption

    Project mention: What is the most performant way to visualize pytorch tensor that stores an image in an interactive manner? | /r/learnmachinelearning | 2023-01-29

    Maybe this: https://github.com/xl0/lovely-tensors

  • geomstats

    Computations and statistics on manifolds with geometric structures.

  • edward2

    A simple probabilistic programming language.

  • 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.

  • 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

    Project mention: Cool Github repositories for Everyone | dev.to | 2022-12-29
  • data-science-learning

    Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.

  • 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

  • monad-bayes

    A library for probabilistic programming in Haskell.

  • stanford-CS229

    Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng

    Project mention: stanford-CS229: NEW Courses - star count:369.0 | /r/algoprojects | 2023-09-06
  • datacamp

    🍧 DataCamp data-science and machine learning courses

    Project mention: datacamp: NEW Courses - star count:200.0 | /r/algoprojects | 2023-01-14
  • covid19-severity-prediction

    Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

  • 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).

    Project mention: [P] 🚀 AWS launches Fortuna, an open-source library for Uncertainty Quantification | /r/MachineLearning | 2023-01-04

    What is the best end-to-end example showing it? https://github.com/awslabs/fortuna/blob/main/examples/mnist_classification.ipynb ? It would be nice to have some visual explainer, as in https://github.com/aangelopoulos/conformal_classification .

  • ISL-python

    Porting the R code in ISL to python. Labs and exercises

    Project mention: Andrew Ng's Machine Learning Specialization or Introduction to Statistical Learning? For someone who's comfortable with mathematics. | /r/learnmachinelearning | 2023-05-28

    https://github.com/emredjan/ISL-python this GitHub has the exercises in python but I am so pumped the python version is coming out this summer.

  • Introduction_to_statistical_learning_summary_python

    Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.

    Project mention: Can you recommend a Python textbook to replace "An Introduction to Statistical Learning with Applications in R", Witten, J. et. al. [E] | /r/statistics | 2022-12-12

    There is Python code available for that book.

  • gan-vae-pretrained-pytorch

    Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

  • InfluxDB

    Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.

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). The latest post mention was on 2023-09-06.

Jupyter Notebook Statistics related posts


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 25,865
2 probability 3,979
3 cracking-the-data-science-interview 2,921
4 ML-foundations 2,418
5 hyperlearn 1,434
6 ppd599 1,232
7 imodels 1,173
8 fecon235 1,011
9 lovely-tensors 1,002
10 geomstats 995
11 edward2 653
12 DataScienceProjects 558
13 Basic-Mathematics-for-Machine-Learning 535
14 data-science-learning 393
15 the-elements-of-statistical-learning 382
16 monad-bayes 379
17 stanford-CS229 375
18 datacamp 264
19 covid19-severity-prediction 226
20 conformal_classification 184
21 ISL-python 178
22 Introduction_to_statistical_learning_summary_python 157
23 gan-vae-pretrained-pytorch 153
Collect and Analyze Billions of Data Points in Real Time
Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.