{"id":21357020,"url":"https://github.com/gjbex/machine-learning-with-python","last_synced_at":"2025-07-13T00:32:35.772Z","repository":{"id":43825335,"uuid":"234082729","full_name":"gjbex/Machine-learning-with-Python","owner":"gjbex","description":"Repository for participants of the \"Machine learning with Python\" training","archived":false,"fork":false,"pushed_at":"2024-04-25T13:18:50.000Z","size":12137,"stargazers_count":14,"open_issues_count":1,"forks_count":25,"subscribers_count":5,"default_branch":"master","last_synced_at":"2024-11-22T04:42:45.473Z","etag":null,"topics":["deep-learning","keras","machine-learning","python","python-training","scikit-learn","training"],"latest_commit_sha":null,"homepage":"https://gjbex.github.io/Machine-learning-with-Python/","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc-by-4.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/gjbex.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","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,"dei":null}},"created_at":"2020-01-15T13:07:10.000Z","updated_at":"2024-09-10T12:30:44.000Z","dependencies_parsed_at":"2024-03-27T08:28:26.855Z","dependency_job_id":"061dc90f-ee41-42c4-ba46-58d902d6ee44","html_url":"https://github.com/gjbex/Machine-learning-with-Python","commit_stats":null,"previous_names":["gjbex/machine-learning-with-python"],"tags_count":5,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gjbex%2FMachine-learning-with-Python","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gjbex%2FMachine-learning-with-Python/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gjbex%2FMachine-learning-with-Python/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gjbex%2FMachine-learning-with-Python/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/gjbex","download_url":"https://codeload.github.com/gjbex/Machine-learning-with-Python/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":225844820,"owners_count":17533160,"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":["deep-learning","keras","machine-learning","python","python-training","scikit-learn","training"],"created_at":"2024-11-22T04:42:51.159Z","updated_at":"2025-07-13T00:32:35.760Z","avatar_url":"https://github.com/gjbex.png","language":"Jupyter Notebook","readme":"# Machine learning with Python\n\nGitHub repository for participants of the \"Machine learning with Python\" training.\nFor information on the training, see the website\n[https://gjbex.github.io/Machine-learning-with-Python/](https://gjbex.github.io/Machine-learning-with-Python/)\n\n\n## What is it?\n\n1. [`machine_learning_with_python.pptx`](machine_learning_with_python.pptx): PowerPoint\n   presentation used for the training.\n1. [`hands-on`](hands-on): Jupyter notebooks for hands-on sessions.\n1. [`source-code`](source-code): sample code written to develop the slides and\n   illustrate concepts.\n1. [`environment.yml`](environment.yml): conda environment file intended to be\n   cross-platform.\n1. [`machine_learning_with_python_linux64_conda_specs.txt`](machine_learning_with_python_linux64_conda_specs.txt):\n   conda environment specification file specific for 64-bit Linux to precisely\n   reproduce the environment on which the code was developed.\n1. [License](LICENSE): license information for the material in this repository.\n1. [Contributing](CONTRIBUTING.md): information on how to contribute to this\n   repository.\n1. docs: directory containing the website for this repository.\n1. [Code of conduct](CODE_OF_CONDUCT.md): when participating in this training\n   you accept to abide by the code of conduct.\n\n\n## Video sessions\n\nVideo recordings of this training are available on YouTube.  **Note:** the\nrecordings were made in 2020 and have not been updated since.\n\n1. [Introduction](https://youtu.be/QIZ0-oHwMaI) (25 minutes)\n1. [scikit-learn: data pipelines and regression](https://youtu.be/sy4U9VteP8Q) (28 minutes)\n1. [scikit-learn: classification and clustering](https://youtu.be/acXmk4Bx8pI) (12 minutes)\n1. [keras: introduction to neural networks](https://youtu.be/-CO0Y8wzYeI) (13 minutes)\n1. [keras: multilayer perceptrons for digit recognition](https://youtu.be/nAixWMYgzdo) (34 minutes)\n1. [keras: convolutional neural networks for digit recognition] (19 minutes)\n1. [keras: recurrent neural networks for sentiment classification](https://youtu.be/TkafYl9APpM) (26 minutes)\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgjbex%2Fmachine-learning-with-python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgjbex%2Fmachine-learning-with-python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgjbex%2Fmachine-learning-with-python/lists"}