{"id":15966958,"url":"https://github.com/akramz/hands-on-machine-learning-with-scikit-learn-keras-and-tensorflow","last_synced_at":"2025-05-16T16:01:41.136Z","repository":{"id":37902642,"uuid":"211290210","full_name":"Akramz/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow","owner":"Akramz","description":"Notes \u0026 exercise solutions of Part I from the book: \"Hands-On ML with Scikit-Learn, Keras \u0026 TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems\" by Aurelien Geron","archived":false,"fork":false,"pushed_at":"2024-04-18T11:17:33.000Z","size":71924,"stargazers_count":924,"open_issues_count":3,"forks_count":404,"subscribers_count":27,"default_branch":"master","last_synced_at":"2025-04-12T14:17:31.647Z","etag":null,"topics":["artificial-intelligence","deep-learning","machine-learning","neural-networks","notebooks","scikit-learn"],"latest_commit_sha":null,"homepage":"https://nbviewer.jupyter.org/github/Akramz/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow/tree/master/","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Akramz.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-09-27T10:01:17.000Z","updated_at":"2025-04-11T09:37:11.000Z","dependencies_parsed_at":"2022-07-11T04:00:24.360Z","dependency_job_id":"848600dc-12ef-4846-8745-daa3c8a4d68f","html_url":"https://github.com/Akramz/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Akramz%2FHands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Akramz%2FHands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Akramz%2FHands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Akramz%2FHands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Akramz","download_url":"https://codeload.github.com/Akramz/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248578876,"owners_count":21127714,"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":["artificial-intelligence","deep-learning","machine-learning","neural-networks","notebooks","scikit-learn"],"created_at":"2024-10-07T18:06:53.813Z","updated_at":"2025-04-12T14:17:53.782Z","avatar_url":"https://github.com/Akramz.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Hands-on ML with Scikit-Learn, Keras \u0026 TF by Aurelien Geron\n\n\u003cdiv style=\"text-align:center\"\u003e\u003cimg style=\"width:100%\" src=\"static/imgs/book_cover.png\"\u003e\u003c/div\u003e\n\nThis repo is home to notes \u0026 code that accompanies Part 1 of Aurelien Geron's \"Hands-on ML with Scikit-Learn, Keras \u0026 TF\" book. The book provides a comprehensive overview of data science, machine learning (with `scikit-learn`), and deep learning (with `tensorflow`).\n\nThe Book assumes you know close to nothing about machine learning. It uses production-ready Python frameworks such as:\n- `Scikit-Learn`\n- `Keras`\n- `TensorFlow`\n\nThe author favors a hands-on approach through a series of working examples and just a little bit of theory. Prerequesites:\n- Some Python programming experience\n- Familiarity with NumPy, Pandas, and Matplotlib\n- A reasonable understanding of college-level math (calculus, probability, Linear Algebra, and statistics)\n\nThe first part of the book is mostly based on `Scikit-Learn`, while the 2nd part is using `Keras/TensorFlow`.\n\n## Roadmap\n\n### The Fundamentals of Machine Learning\n\nWe provide links for the available notebooks:\n- [The Machine Learning Landscape](https://nbviewer.jupyter.org/github/Akramz/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow/blob/master/01.ML_Landscape.ipynb)\n- [End-to-End Machine Learning Project](https://nbviewer.jupyter.org/github/Akramz/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow/blob/master/02.End-to-End-ML-Project.ipynb)\n- [Classification](https://nbviewer.jupyter.org/github/Akramz/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow/blob/master/03.Classification.ipynb)\n- [Training Models](https://nbviewer.jupyter.org/github/Akramz/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow/blob/master/04.Training-Models.ipynb)\n- [Support Vector Machines](https://nbviewer.jupyter.org/github/Akramz/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow/blob/master/05.SVMs.ipynb)\n- [Decision Trees](https://nbviewer.jupyter.org/github/Akramz/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow/blob/master/06.Decision_Trees.ipynb)\n- [Ensemble Learning and Random Forests](https://nbviewer.jupyter.org/github/Akramz/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow/blob/master/07.Ensembles_RFs.ipynb)\n- [Dimensionality Reduction](https://nbviewer.jupyter.org/github/Akramz/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow/blob/master/08.Dim_Reduction.ipynb)\n- [Unsupervised Learning Techniques](https://nbviewer.jupyter.org/github/Akramz/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow/blob/master/09.Unsupervised_learning.ipynb)\n\n---\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fakramz%2Fhands-on-machine-learning-with-scikit-learn-keras-and-tensorflow","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fakramz%2Fhands-on-machine-learning-with-scikit-learn-keras-and-tensorflow","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fakramz%2Fhands-on-machine-learning-with-scikit-learn-keras-and-tensorflow/lists"}