{"id":16288383,"url":"https://github.com/cdalvaro/machine-learning-notebooks","last_synced_at":"2026-05-04T05:34:17.516Z","repository":{"id":100601995,"uuid":"264998160","full_name":"cdalvaro/machine-learning-notebooks","owner":"cdalvaro","description":"📚 Set of Jupyter Notebooks with different kind of machine learning topics","archived":false,"fork":false,"pushed_at":"2020-10-23T06:10:56.000Z","size":4086,"stargazers_count":4,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-04-09T07:14:22.381Z","etag":null,"topics":["clustering","keras","machine-learning","machine-learning-algorithms","machine-learning-tutorials","neural-networks","random-forest","support-vector-machines"],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Machine Learning Notebooks\n\n[![Python][python_badge]][python_link]\n[![Jupyter][jupyter_badge]][jupyter_link]\n[![Keras][keras_badge]][keras_link]\n[![License: MIT][mit_badge]][mit_license]\n\nThis repository contains a series of Jupyter Notebooks with different kind of machine learning topics.\n\n🚧 Currently all notebooks are written in Spanish but I plan to translate them to English in a near future.\n\n## General\n\n- [Naive Bayes Classifier](notebooks/naive-bayes-classifier/naive-bayes-classifier.ipynb)\n- [Clustering Techniques](notebooks/clustering-techniques/clustering-techniques.ipynb)\n- [Outlier Detection](notebooks/outlier-detection/outlier-detection.ipynb)\n- [Support Vector Machines (SVM) VS Neural Network](notebooks/support-vector-machine-vs-neural-network/support-vector-machine-vs-nerual-network.ipynb)\n- [Random Forest Classifier and Regressor](notebooks/random-forest/random-forest.ipynb)\n\n## Neural Networks\n\n- [Introduction to Neural Networks with TensowFlow and Keras](notebooks/introduction-to-neural-networks/introduction-to-neural-networks.ipynb)\n- [Practical Aspects of Neural Networks](notebooks/practical-aspects-of-neural-networks/practical-aspects-of-neural-networks.ipynb)\n- [Convolutional Neural Networks (CNN)](notebooks/convolutional-neural-networks/convolutional-neural-networks.ipynb)\n\n## Action models\n\n- [STRIPS](notebooks/strips/strips.ipynb)\n\n## Image Processing\n\n- [Mathematical Morphology](notebooks/mathematical-morphology/mathematical-morphology.ipynb)\n\n[python_badge]: https://img.shields.io/badge/Python-3.7-3776AB?style=flat-square\u0026logo=Python\n[python_link]: https://docs.python.org/3.7/contents.html \"Python 3.7\"\n[jupyter_badge]: https://img.shields.io/badge/Jupyter-Notebook-F37626?style=flat-square\u0026logo=Jupyter\n[jupyter_link]: https://jupyter.org \"Jupyter Notebook\"\n[keras_badge]: https://img.shields.io/badge/Keras-2.2-D00000?style=flat-square\u0026logo=Keras\u0026logoColor=D00000\n[keras_link]: https://keras.io/api/ \"Keras API\"\n[mit_badge]: https://img.shields.io/badge/License-MIT-yellow.svg?style=flat-square\n[mit_license]: https://opensource.org/licenses/MIT \"License: MIT\"\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcdalvaro%2Fmachine-learning-notebooks","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcdalvaro%2Fmachine-learning-notebooks","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcdalvaro%2Fmachine-learning-notebooks/lists"}