{"id":20822733,"url":"https://github.com/kimpro82/mydatasciencepractice","last_synced_at":"2026-04-12T00:04:12.497Z","repository":{"id":50296503,"uuid":"518717326","full_name":"kimpro82/MyDataSciencePractice","owner":"kimpro82","description":"Kaggle than Gargle","archived":false,"fork":false,"pushed_at":"2024-11-21T02:37:33.000Z","size":10223,"stargazers_count":0,"open_issues_count":23,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-07-25T20:51:13.980Z","etag":null,"topics":["ai","deep-learning","julia","kaggle","keras","machine-learning","python","r","sklearn","tensorflow"],"latest_commit_sha":null,"homepage":"","language":"R","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/kimpro82.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":"2022-07-28T05:49:21.000Z","updated_at":"2024-11-21T02:37:33.000Z","dependencies_parsed_at":"2024-05-28T15:26:09.916Z","dependency_job_id":"41ac9270-875c-4ffd-bc2d-7798d9315ae8","html_url":"https://github.com/kimpro82/MyDataSciencePractice","commit_stats":null,"previous_names":["kimpro82/mydatasciencepractice"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/kimpro82/MyDataSciencePractice","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kimpro82%2FMyDataSciencePractice","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kimpro82%2FMyDataSciencePractice/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kimpro82%2FMyDataSciencePractice/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kimpro82%2FMyDataSciencePractice/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/kimpro82","download_url":"https://codeload.github.com/kimpro82/MyDataSciencePractice/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kimpro82%2FMyDataSciencePractice/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279012500,"owners_count":26085133,"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","status":"online","status_checked_at":"2025-10-12T02:00:06.719Z","response_time":53,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["ai","deep-learning","julia","kaggle","keras","machine-learning","python","r","sklearn","tensorflow"],"created_at":"2024-11-17T22:15:57.153Z","updated_at":"2025-10-12T18:13:20.064Z","avatar_url":"https://github.com/kimpro82.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# My Data Science Practice\n\n  This repository stores **code related to statistics, data science, and artificial intelligence**, which are relatively not [traditional computer science domains](https://github.com/kimpro82/MyPractice).\n\n\n### \\\u003cList\u003e\n\n- [Kaggle](#kaggle)\n  - [Competitions](#competitions)\n  - [Analysis](#analysis)\n- [Programming Languages](#programming-languages)\n  - [Julia](#julia)\n  - [Python](#python)\n  - [R](#r)\n- [ETC](#etc)\n  - [빅데이터분석기사 (실기)](#빅데이터분석기사-실기)\n\n\n## [Kaggle](#list)\n\n### [Competitions](#list)\n\n  [Kaggle](https://www.kaggle.com/kangrokkim) than Gargle!\n\n  - [Titanic](/Kaggle/Competitions/Titanic/)\n    - [R : Random Forest (2023.12.02)](/Kaggle/Competitions/Titanic/README.md#r--random-forest-20231202)\n    - [Python : HGB 1.2 (2022.07.31)](/Kaggle/Competitions/Titanic/README.md#python--hgb-12-20220731)\n    - [Python : HGB 1.1 (2022.07.28)](/Kaggle/Competitions/Titanic/README.md#python--hgb-11-20220728)\n    - [Python : HGB 1.0 (2022.07.27)](/Kaggle/Competitions/Titanic/README.md#python--hgb-10-20220727)\n\n### [Analysis](#list)\n\n  These belong to Kaggle but are not related to competitions.\n\n  - [Data Splitting Practice in R (2023.08.05)](/Kaggle/Analysis/DataSplitting/)\n  - [Trends of *F1 Score* with Changes in Precision and Recall (2023.06.25)](/Kaggle/Analysis/F1Score/)\n  - [Decision Tree Regression with *Used Car Prices* in R (2022.12.07)](/Kaggle/Analysis/CarPrice/)\n  - [Black Jack](/Kaggle/Analysis/BlackJack/)\n    - [1. Set Initial Cards](/Kaggle/Analysis/BlackJack/README.md#1-set-initial-cards)\n      - [1.1 Trial 1 - Generate the Entire Initial Cases (2022.08.16)](/Kaggle/Analysis/BlackJack/README.md#11-trial-1---generate-the-entire-initial-cases-20220816)\n    - [0. Generate Cards' Data (2022.08.06)](/Kaggle/Analysis/BlackJack/README.md#0-generate-cards-data-20220806)\n\n\n## [Programming Languages](#list)\n\n  Not all of the code below is directly related to data science, but for convenience, all code in specialized languages like Julia and R will be categorized under this repository.\n\n### [Julia](#list)\n\n  - [Monte Carlo Simulation of Price Index Random Walks (2024.11.20)](/Julia/README.md#monte-carlo-simulation-of-price-index-random-walks-20241120)\n  - [Triple Pendulum Simulation (2024.09.23)](/Julia/README.md#triple-pendulum-simulation-20240923)\n  - [Double Pendulum Simulation (2024.09.22)](/Julia/README.md#double-pendulum-simulation-20240922)\n  - [K-Means Clustering for Text Data (2024.08.05)](/Julia/README.md#k-means-clustering-for-text-data-20240805)\n  - [Initial Practice (2024.05.28)](/Julia/README.md#initial-practice-20240528)\n\n### [Python](#list)\n\n  - [Shuffle List (2020.03.30)](/Python/README.md#shuffle-list-20200330)\n  - [Random Seed Influence (2020.01.05)](/Python/README.md#random-seed-influence-20200105)\n  - [Square Root (2020.01.01) (adjusted 2020.01.04)](/Python/README.md#square-root-20200101)\n  - [Limited Range Sampling (2019.09.22)](/Python/README.md#limited-range-sampling-20190922)\n\n### [R](#list)\n\n  - [`any()` \u0026 `all()` Practice (2024.02.19)](/R/README.md#any--all-practice-20240219)\n  - [Slicing String with `substr()` (2023.06.26)](/R/README.md#slicing-string-with-substr-20230626)\n  - [`List` Practice in R (2022.11.22)](/R/README.md#list-in-r-20221122)\n  - [`Shiny` - 1st Trial (2022.05.04)](/R/README.md#shiny---1st-trial-20220504)\n  - [Scatter Points in a Circle (2021.08.16)](/R/README.md#scatter-points-in-a-circle-20210816)\n  - [Permutations and Combinations (2021.04.05)](/R/README.md#permutations-and-combinations-20210405)\n  - [Generating Array and Variables by for Loop (2019.12.06)](/R/README.md#generating-array-and-variables-by-for-loop-20191206)\n  - [Fibonacci Tornado (2017.05.07)](/R/README.md#fibonacci-tornado-20170507)\n\n\n## [ETC](#list)\n\n### [빅데이터분석기사 (실기)](#list)\n\n- 예시문제\n  - [작업형 제1유형 (2023.06.23)](/BAE/README.md#작업형-제1유형-20230623)\n  - [작업형 제2유형](/BAE/README.md##작업형-제2유형)\n    - [Trial 1 : Decision Tree (2023.06.23)](/BAE/README.md#trial-1--decision-tree-20230623)\n    - [Trial 2 : Random Forest (2024.06.21)](/BAE/README.md#trial-2--random-forest-20240621)\n  - [작업형 제3유형 (신유형, 2023.04.25)](/BAE/README.md#작업형-제3유형-신유형-20230425)\n- 기출문제\n  - [제5회 : 필답형 9번 (2022.12.03)](/BAE/README.md#제5회--필답형-9번-20221203)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkimpro82%2Fmydatasciencepractice","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkimpro82%2Fmydatasciencepractice","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkimpro82%2Fmydatasciencepractice/lists"}