{"id":25733711,"url":"https://github.com/adamsochorec/applied-machine-learning","last_synced_at":"2026-05-05T04:38:36.174Z","repository":{"id":279424479,"uuid":"938763040","full_name":"adamsochorec/applied-machine-learning","owner":"adamsochorec","description":null,"archived":false,"fork":false,"pushed_at":"2025-02-25T14:15:32.000Z","size":10137,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-25T14:33:51.694Z","etag":null,"topics":["machine-learning","numpy","pandas","python"],"latest_commit_sha":null,"homepage":"https://adamsochorec.github.io/applied-machine-learning/","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/adamsochorec.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":"2025-02-25T13:15:39.000Z","updated_at":"2025-02-25T14:15:35.000Z","dependencies_parsed_at":"2025-02-25T14:44:52.975Z","dependency_job_id":null,"html_url":"https://github.com/adamsochorec/applied-machine-learning","commit_stats":null,"previous_names":["adamsochorec/applied-machine-learning"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/adamsochorec%2Fapplied-machine-learning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/adamsochorec%2Fapplied-machine-learning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/adamsochorec%2Fapplied-machine-learning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/adamsochorec%2Fapplied-machine-learning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/adamsochorec","download_url":"https://codeload.github.com/adamsochorec/applied-machine-learning/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240790287,"owners_count":19858009,"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","numpy","pandas","python"],"created_at":"2025-02-26T04:22:31.620Z","updated_at":"2026-05-05T04:38:36.167Z","avatar_url":"https://github.com/adamsochorec.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Applied Machine Learning (AML)\n\n## Who?\nThese projects are based on the notes and experiments I conducted during [Petri Valisuö](https://github.com/pevalisuo)'s classes at the [University of Vaasa](https://www.uwasa.fi).\n\n## Why?\nThe aim of this portfolio is to demonstrate my understanding of machine learning algorithms and their application to real-world problems. It serves as a showcase of my skills, experiments, and problem-solving abilities in the field of machine learning, Python, Numpy and Pandas.\n\n## When?\nThis portfolio was created during the Winter semester of 2023.\n\n## What?\nThis portfolio includes various machine learning projects using Python. It covers key topics such as:\n- **Introduction to machine learning**\n- **Python basics for ML**\n- **Data reading, cleaning, and plotting**\n- **Preprocessing and feature extraction**\n- **Unsupervised machine learning for data exploration**\n- **Supervised machine learning**\n- **Model evaluation and optimization**\n\n## How?\nThe projects demonstrate hands-on application of machine learning algorithms to solve real-world problems. The code is implements Python libraries such as Pandas and Numpy integrated in upyter Notebooks for each step in the learning process.\n\n\n## Deployment commands\n```bash\npoetry run jupyter-book build myfirstbook\npoetry run ghp-import -n -p -f notebooks/_build/html\n```\n\nUseful [guide](https://medium.com/@dr.junghoonson/simplest-way-to-publish-your-jupyter-notebooks-on-the-open-web-using-jupyter-book-and-github-pages-eea144031d6f) for pubishing Jupyter Notebooks to GitHub Pages.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fadamsochorec%2Fapplied-machine-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fadamsochorec%2Fapplied-machine-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fadamsochorec%2Fapplied-machine-learning/lists"}