{"id":14989192,"url":"https://github.com/tirthajyoti/stats-maths-with-python","last_synced_at":"2025-04-12T18:41:08.017Z","repository":{"id":41148622,"uuid":"109673958","full_name":"tirthajyoti/Stats-Maths-with-Python","owner":"tirthajyoti","description":"General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python","archived":false,"fork":false,"pushed_at":"2022-09-18T16:57:57.000Z","size":73544,"stargazers_count":916,"open_issues_count":5,"forks_count":379,"subscribers_count":38,"default_branch":"master","last_synced_at":"2025-04-03T20:12:28.630Z","etag":null,"topics":["analytics","anova","bayesian-statistics","clustering","data-science","hypothesis-testing","inferential-statistics","machine-learning","mathematical-programming","mathematics","matplotlib","normal-distribution","numerical-analysis","numpy","pandas","probability","python","scipy","statistics","statsmodels"],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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Notebook","readme":"# Statistics/ Mathematical Computing Notebooks\nJupyter Notebooks on the topics of statistical analysis, mathematics, and numerical/sceintific computing (in Python).\n\n### Please feel free to [connect with me on LinkedIn](https://www.linkedin.com/in/tirthajyoti-sarkar-2127aa7/) if you are interested in data science and like to connect.\n\n----\n\n### Requirements\n* **Python 3.6+**\n* **NumPy (`$ pip install numpy`)**\n* **Pandas (`$ pip install pandas`)**\n* **Scikit-learn (`$ pip install scikit-learn`)**\n* **SciPy (`$ pip install scipy`)**\n* **Statsmodels (`$ pip install statsmodels`)**\n* **MatplotLib (`$ pip install matplotlib`)**\n* **Seaborn (`$ pip install seaborn`)**\n\n---\n### [Set Algebra basics](https://github.com/tirthajyoti/Stats-Maths-with-Python/blob/master/Set_Algebra_with_Python.ipynb)\n![set](http://www.efgh.com/math/algebra/venn.gif)\n### [Permutations and Combinations](https://github.com/tirthajyoti/Stats-Maths-with-Python/blob/master/Permutations_and_Combinations.ipynb)\n![permutation and combination](http://slideplayer.com/slide/6113299/18/images/1/Permutation+and+Combination.jpg)\n### [Probability distributions (Discrete)](https://github.com/tirthajyoti/Stats-Maths-with-Python/blob/master/Prob_Distributions_Discrete.ipynb)\n![binom](https://www.maplesoft.com/support/help/content/1898/image50.png)\n### [Linear Regression Methods](https://github.com/tirthajyoti/Stats-Maths-with-Python/blob/master/Linear_Regression_Methods.ipynb)\n![lm](http://rasbt.github.io/mlxtend/user_guide/regressor/LinearRegression_files/simple_regression.png)\n### [_R-style_ Statistical functions written using Python](https://github.com/tirthajyoti/Stats-Maths-with-Python/blob/master/R-style%20Functions.ipynb)\n![rstyle](https://cdn-images-1.medium.com/max/1200/1*FqR5zGQYic_pNRyakzj_Cw.png)\n### [Diagnostics of a linear regression problem](https://github.com/tirthajyoti/Stats-Maths-with-Python/blob/master/Regression_Diagnostics.ipynb)\n\n### [Introduction to hypothesis testing](https://github.com/tirthajyoti/Stats-Maths-with-Python/blob/master/Intro_Hypothesis_Testing.ipynb)\n\n## Articles\nCheck out this article I wrote on Medium: ___[Essential Math for Data Science.](https://towardsdatascience.com/essential-math-for-data-science-why-and-how-e88271367fbd)___\n\nCheck out this article I wrote on Medium about ___[\"How to write your favorite R functions — in Python?\"](https://towardsdatascience.com/how-to-write-your-favorite-r-functions-in-python-11e1e9c29089)___\n\nCheck out this article I wrote on Medium about ___[\"Mathematical programming — a key habit to build up for advancing in data science?\"](https://towardsdatascience.com/mathematical-programming-a-key-habit-to-built-up-for-advancing-in-data-science-c6d5c29533be)___\n\nCheck out this article I wrote on Medium about ___[\"Bayes’ rule with a simple and practical example\"](https://towardsdatascience.com/bayes-rule-with-a-simple-and-practical-example-2bce3d0f4ad0)___\n\nCheck out this article I wrote on Medium about ___[\"Statistical modeling with “Pomegranate” — fast and intuitive\"](https://towardsdatascience.com/statistical-modeling-with-pomegranate-fast-and-intuitive-4d605d9c33a9)___\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftirthajyoti%2Fstats-maths-with-python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftirthajyoti%2Fstats-maths-with-python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftirthajyoti%2Fstats-maths-with-python/lists"}