{"id":17984793,"url":"https://github.com/nickgeneva/kernel_smoothers","last_synced_at":"2025-04-04T02:21:06.351Z","repository":{"id":87032178,"uuid":"182893120","full_name":"NickGeneva/kernel_smoothers","owner":"NickGeneva","description":"Tutorials on kernel smoothing techniques","archived":false,"fork":false,"pushed_at":"2019-05-01T13:38:43.000Z","size":22779,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-09T13:43:30.211Z","etag":null,"topics":["kernel-methods","kernel-smoothing","machine-learning","machine-learning-algorithms"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/NickGeneva.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,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-04-23T01:01:56.000Z","updated_at":"2024-01-19T02:12:28.000Z","dependencies_parsed_at":"2023-05-30T07:15:34.069Z","dependency_job_id":null,"html_url":"https://github.com/NickGeneva/kernel_smoothers","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/NickGeneva%2Fkernel_smoothers","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NickGeneva%2Fkernel_smoothers/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NickGeneva%2Fkernel_smoothers/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NickGeneva%2Fkernel_smoothers/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/NickGeneva","download_url":"https://codeload.github.com/NickGeneva/kernel_smoothers/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247108325,"owners_count":20884880,"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":["kernel-methods","kernel-smoothing","machine-learning","machine-learning-algorithms"],"created_at":"2024-10-29T18:22:58.679Z","updated_at":"2025-04-04T02:21:06.332Z","avatar_url":"https://github.com/NickGeneva.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Kernel Smoothers\nSpring 2019 AME-70790 Final Project\nNicholas Geneva (ngeneva at nd.edu, [@NickGeneva](https://twitter.com/NickGeneva))\n\nReference: Wand, M. P., \u0026 Jones, M. C. (1994). Kernel smoothing. Chapman and Hall/CRC.\n___\n![multivariate_regression](figs/08_multivariate_regression.png)\n___\nVarious demo files written in python to illustrate the fundementials of kernel smoothers and kernel methods. This files were written as a part of class final project in Spring 2019.\n\nClick on the following links to view each notebook:\n1. [01_kernel_bandwidth.ipynb](https://nbviewer.jupyter.org/github/AbsoluteStratos/kernel_smoothers/blob/master/01_kernel_bandwidth.ipynb)\n2. [02_kernel_shape.ipynb](https://nbviewer.jupyter.org/github/AbsoluteStratos/kernel_smoothers/blob/master/02_kernel_shape.ipynb)\n3. [03_multivariate_kernel.ipynb](https://nbviewer.jupyter.org/github/AbsoluteStratos/kernel_smoothers/blob/master/03_multivariate_kernel.ipynb)\n4. [04_chicago_crime_density.ipynb](https://nbviewer.jupyter.org/github/AbsoluteStratos/kernel_smoothers/blob/master/04_chicago_crime_density.ipynb)\n5. [05_local_linear_regression.ipynb](https://nbviewer.jupyter.org/github/AbsoluteStratos/kernel_smoothers/blob/master/05_local_linear_regression.ipynb)\n6. [06_local_quadratic_regression.ipynb](https://nbviewer.jupyter.org/github/AbsoluteStratos/kernel_smoothers/blob/master/06_local_quadratic_regression.ipynb)\n7. [07_nadaraya_watson_regression.ipynb](https://nbviewer.jupyter.org/github/AbsoluteStratos/kernel_smoothers/blob/master/07_nadaraya_watson_regression.ipynb)\n8. [08_multivariate_regression.ipynb](https://nbviewer.jupyter.org/github/AbsoluteStratos/kernel_smoothers/blob/master/08_multivariate_regression.ipynb)\n9. [09_scottish_hill_races.ipynb](https://nbviewer.jupyter.org/github/AbsoluteStratos/kernel_smoothers/blob/master/09_scottish_hill_races.ipynb)\n\n#### Note:\nIf the Jupyter notebooks do not show on github you can view the rendered version at [nbviewer.org](https://nbviewer.jupyter.org/). Simply paste the respective notebook url into the prompt and it will be executed.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnickgeneva%2Fkernel_smoothers","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnickgeneva%2Fkernel_smoothers","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnickgeneva%2Fkernel_smoothers/lists"}