{"id":13856453,"url":"https://github.com/leandromineti/ml-feynman-experience","last_synced_at":"2025-08-21T10:32:04.809Z","repository":{"id":217193562,"uuid":"159333937","full_name":"leandromineti/ml-feynman-experience","owner":"leandromineti","description":"A collection of analytics methods implemented with Python on Google Colab","archived":false,"fork":false,"pushed_at":"2020-03-16T13:12:37.000Z","size":1941,"stargazers_count":219,"open_issues_count":0,"forks_count":12,"subscribers_count":14,"default_branch":"master","last_synced_at":"2024-12-09T06:32:31.916Z","etag":null,"topics":["machine-learning","notebook","numpy","python","scipy","statistics"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/leandromineti.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2018-11-27T12:44:00.000Z","updated_at":"2024-10-08T16:11:52.000Z","dependencies_parsed_at":"2024-01-15T00:54:46.552Z","dependency_job_id":"56dd020a-997f-45b3-8588-821a782c383b","html_url":"https://github.com/leandromineti/ml-feynman-experience","commit_stats":null,"previous_names":["leandromineti/ml-feynman-experience"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/leandromineti%2Fml-feynman-experience","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/leandromineti%2Fml-feynman-experience/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/leandromineti%2Fml-feynman-experience/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/leandromineti%2Fml-feynman-experience/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/leandromineti","download_url":"https://codeload.github.com/leandromineti/ml-feynman-experience/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":230507051,"owners_count":18236944,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["machine-learning","notebook","numpy","python","scipy","statistics"],"created_at":"2024-08-05T03:01:00.932Z","updated_at":"2024-12-19T22:08:55.929Z","avatar_url":"https://github.com/leandromineti.png","language":null,"funding_links":[],"categories":["Others"],"sub_categories":[],"readme":"# Machine Learning Feynman Experience\n\n\u003cimg src=\"cover.png\" alt=\"drawing\" width=\"100%\"/\u003e\n\n\u003e \"What I cannot create, I do not understand\" - Feynman.\n\nThis is a collection of concepts I tried to implement using only [Python](https://www.python.org/), [NumPy](http://www.numpy.org/) and [SciPy](https://www.scipy.org/scipylib/index.html) on [Google Colaboratory](https://colab.research.google.com/notebooks/welcome.ipynb). If you want to play with the code, feel free to copy the notebook and have fun.\n\n## Notebooks\n\n- [Law of large numbers](https://colab.research.google.com/drive/1OrXdXaz7gloahVuv6aIgXwCgs6C7S_oE)\n- [Markov chains](https://colab.research.google.com/drive/104V2fY3wQc5m0af_xm7DsRNgpiVPh8x-)\n- [Single parameter frequentist inference](https://colab.research.google.com/drive/1rFwHTN7OyrjhOKUY3P3d9C0Rz1d6sad7)\n- [Simple linear regression](https://colab.research.google.com/drive/1NUtc-TWBTe2XVD2xdkjwPD4sc43Ozf0g)\n- [Multiple linear regression](https://colab.research.google.com/drive/1DMmQ_aVQhRZ7bwIgFFSElCxgTpWCt74f)\n\n### Work in progress\n\n- [Generalized linear models](https://colab.research.google.com/drive/1tJQfD2IGNBhRbnksOPlC0ugNjGEBKC6i)\n- [Expectation maximization](https://colab.research.google.com/drive/1nqlu2-0uei2Wmck781EHuW-N2JpfSIG7)\n\n### To do\n\n- \\[ \\] Principal component analysis\n- \\[ \\] Linear discriminant analysis\n- \\[ \\] Central limit theorem\n- \\[ \\] Single parameter bayesian inference\n- \\[ \\] Decision tree\n- \\[ \\] Random Forest\n- \\[ \\] Support vector machine\n- \\[ \\] Perceptron\n- \\[ \\] Gradient boosting machine\n- \\[ \\] Autoregressive models\n\n### Contributions\n\nIf you spot a mistake or omission, please feel free to create a new issue.\n\n### References\n\n- Casella, G., \u0026 Berger, R. L. (2002). Statistical inference (Vol. 2). Pacific Grove, CA: Duxbury.\n- Costa, M. A. (2019). Tópicos em ciência dos dados: Introdução aos modelos paramétricos e seus aplicações utilizando o R. Bonecker.\n- DeGroot, M. H., \u0026 Schervish, M. J. (2012). Probability and statistics. Pearson Education.\n- Hastie, T., Tibshirani, R., \u0026 Friedman, J. H. (2009). The elements of statistical learning: data mining, inference, and prediction (2nd ed). New York, NY: Springer.\n- **Cover image**: Dr. Richard Feynman during the Special Lecture: *the Motion of Planets Around the Sun*. Public Domain. Created: 13 March 1964. \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fleandromineti%2Fml-feynman-experience","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fleandromineti%2Fml-feynman-experience","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fleandromineti%2Fml-feynman-experience/lists"}