General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|

Scikit Learn | 54,520 | 18,944 | 6,722 | 3 hours ago | 64 | May 19, 2022 | 2,194 | bsd-3-clause | Python | |

scikit-learn: machine learning in Python | ||||||||||

Virgilio | 13,415 | a year ago | 20 | other | Jupyter Notebook | |||||

Your new Mentor for Data Science E-Learning. | ||||||||||

Machine Learning Tutorials | 12,876 | 5 months ago | 33 | cc0-1.0 | ||||||

machine learning and deep learning tutorials, articles and other resources | ||||||||||

Ydata Profiling | 10,700 | 3 hours ago | 168 | mit | Python | |||||

Create HTML profiling reports from pandas DataFrame objects | ||||||||||

Imbalanced Learn | 6,325 | 140 | 126 | a month ago | 29 | May 16, 2022 | 63 | mit | Python | |

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning | ||||||||||

Smile | 5,736 | 121 | 30 | a month ago | 30 | December 05, 2020 | 10 | other | Java | |

Statistical Machine Intelligence & Learning Engine | ||||||||||

Edward | 4,503 | 39 | 2 | 4 years ago | 28 | January 22, 2018 | 218 | other | Jupyter Notebook | |

A probabilistic programming language in TensorFlow. Deep generative models, variational inference. | ||||||||||

Framework | 4,017 | 3 years ago | 760 | other | C# | |||||

Machine learning, computer vision, statistics and general scientific computing for .NET | ||||||||||

Probability | 3,922 | 126 | 213 | 21 hours ago | 43 | June 07, 2022 | 635 | apache-2.0 | Jupyter Notebook | |

Probabilistic reasoning and statistical analysis in TensorFlow | ||||||||||

Datascience | 3,751 | 20 days ago | cc0-1.0 | |||||||

Curated list of Python resources for data science. |

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Readme

Jupyter Notebooks on the topics of statistical analysis, mathematics, and numerical/sceintific computing (in Python).

**Python 3.6+****NumPy (**`$ pip install numpy`

)**Pandas (**`$ pip install pandas`

)**Scikit-learn (**`$ pip install scikit-learn`

)**SciPy (**`$ pip install scipy`

)**Statsmodels (**`$ pip install statsmodels`

)**MatplotLib (**`$ pip install matplotlib`

)**Seaborn (**`$ pip install seaborn`

)

Check out this article I wrote on Medium: **Essential Math for Data Science.**

Check out this article I wrote on Medium about **"How to write your favorite R functions — in Python?"**

Check out this article I wrote on Medium about **"Mathematical programming — a key habit to build up for advancing in data science?"**

Check out this article I wrote on Medium about **"Bayes’ rule with a simple and practical example"**

Check out this article I wrote on Medium about **"Statistical modeling with “Pomegranate” — fast and intuitive"**

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Python

Jupyter Notebook

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Statistics

Mathematics

Pandas

Numpy

Matplotlib

Probability

Medium

Scipy

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