{"id":18709201,"url":"https://github.com/jojoee/pokemon-winner-prediction","last_synced_at":"2025-10-25T22:49:28.323Z","repository":{"id":91700886,"uuid":"133193170","full_name":"jojoee/pokemon-winner-prediction","owner":"jojoee","description":":hatched_chick: Predict which Pokemon will win the fight","archived":false,"fork":false,"pushed_at":"2018-05-13T04:41:09.000Z","size":1316,"stargazers_count":8,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-12T10:56:02.950Z","etag":null,"topics":["machine-learning","pokemon","prediction","visualization"],"latest_commit_sha":null,"homepage":"https://docs.google.com/presentation/d/1ZqQjE3Bj_1zfMDuJwTkmZxnqgmWCGQX9F7I3GTWw8ac/edit","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/jojoee.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":"2018-05-13T00:20:57.000Z","updated_at":"2024-02-02T02:48:57.000Z","dependencies_parsed_at":"2024-04-22T19:50:06.513Z","dependency_job_id":null,"html_url":"https://github.com/jojoee/pokemon-winner-prediction","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/jojoee/pokemon-winner-prediction","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jojoee%2Fpokemon-winner-prediction","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jojoee%2Fpokemon-winner-prediction/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jojoee%2Fpokemon-winner-prediction/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jojoee%2Fpokemon-winner-prediction/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jojoee","download_url":"https://codeload.github.com/jojoee/pokemon-winner-prediction/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jojoee%2Fpokemon-winner-prediction/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":265872440,"owners_count":23842180,"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","pokemon","prediction","visualization"],"created_at":"2024-11-07T12:26:41.308Z","updated_at":"2025-10-25T22:49:23.276Z","avatar_url":"https://github.com/jojoee.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Pokemon Winner Prediction\n\nBased on [Pokemon- Weedle's Cave | Kaggle](https://www.kaggle.com/terminus7/pokemon-challenge), [result](https://github.com/jojoee/pokemon-winner-prediction/blob/master/pokemon-winner-prediction.ipynb)\n\n## Getting started\n\n1. Install `Python3`\n2. Install dependencies and `jupyter`\n\n## TODO / Future improvement\n\n- [ ] Add `requirements.txt`\n- [ ] Fix warnings\n- [ ] Check more about model evaluation\n- Data preparation\n  - [ ] Try remove row that contain `NaN` instead of filling it\n  - [ ] Try other interpolation methods\n  - [ ] Try to normalize data before create model\n  - [ ] Try other feature extractions e.g. type-advantage, type1, type2\n  - [ ] Try remove Pokemon that have low number of fights\n  - [ ] Using \"diff\" stat instead of raw stat, check https://www.kaggle.com/vforvince1/visualizing-data-and-predicting-pokemon-fights\n- Model\n  - [ ] Deep learning approach\n  - [ ] XGBClassifier\n  - [ ] Others e.g. GradientBoostingClassifier, svm\n  - [ ] Hyper parameters e.g. distance method, measure method in kNN\n- [ ] Demo page\n- [ ] Add Pokemon image to demo page\n\n## Ref\n\n### kaggle.com\n- https://www.kaggle.com/ndrewgele/visualizing-pok-mon-stats-with-seaborn\n- https://www.kaggle.com/algorlabs/got-to-analyse-em-all\n- https://www.kaggle.com/athenalog/data-analysis-and-visualization-poke-master\n- https://www.kaggle.com/arihantkumarjain/pokemon-analytics\n- https://www.kaggle.com/edword/stats-comparison-3d-scatter-plot\n- https://www.kaggle.com/casuru/pokemon-analysis\n- https://www.kaggle.com/sanghan/first-gen-pokemon-stats\n- https://www.kaggle.com/ash316/learn-pandas-with-pokemons\n- https://www.kaggle.com/nemo22/data-sciencetutorial-for-beginners\n- https://www.kaggle.com/kanncaa1/data-sciencetutorial-for-beginners\n- https://www.kaggle.com/rautaki0127/pokemon-data-science-challenge\n- https://www.kaggle.com/vedranium/who-s-that-pokemon\n- https://www.kaggle.com/rtatman/which-pokemon-win-the-most\n- https://www.kaggle.com/kremijowo/learn-machine-learning-for-newbie-in-progress\n- https://www.kaggle.com/paulhendi/pokemon-dataset-random-forest-prediction\n- https://www.kaggle.com/cookiehunter/battle-outcome-prediction\n- https://www.kaggle.com/karenfang/ds-step-by-step-using-pokemon-dataset\n- https://www.kaggle.com/vforvince1/visualizing-data-and-predicting-pokemon-fights\n- https://www.kaggle.com/hiteshp/r-to-python-tutorial\n- https://www.kaggle.com/jonathanbouchet/pokemon-battles\n- https://www.kaggle.com/aagundez/pikachu-vs-bulbasaur-matchup,  radar chart\n- https://www.kaggle.com/gracezhou0912/analysis-on-pokemon-features\n- https://www.kaggle.com/strakul5/principal-component-analysis-of-pokemon-data\n- https://www.kaggle.com/galbiati/checking-out-kaggle-nb-with-pokemon-dataset\n\n### Others\n- https://seaborn.pydata.org/\n- https://seaborn.pydata.org/tutorial/distributions.html\n- https://seaborn.pydata.org/generated/seaborn.distplot.html\n- https://seaborn.pydata.org/generated/seaborn.countplot.html\n- https://pokemondb.net/pokedex/all\n- https://bulbapedia.bulbagarden.net/wiki/List_of_Pok%C3%A9mon_by_National_Pok%C3%A9dex_number\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjojoee%2Fpokemon-winner-prediction","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjojoee%2Fpokemon-winner-prediction","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjojoee%2Fpokemon-winner-prediction/lists"}