https://github.com/kimpro82/mydatasciencepractice
Kaggle than Gargle
https://github.com/kimpro82/mydatasciencepractice
ai deep-learning julia kaggle keras machine-learning python r sklearn tensorflow
Last synced: 3 months ago
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Kaggle than Gargle
- Host: GitHub
- URL: https://github.com/kimpro82/mydatasciencepractice
- Owner: kimpro82
- Created: 2022-07-28T05:49:21.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2024-11-21T02:37:33.000Z (over 1 year ago)
- Last Synced: 2025-07-25T20:51:13.980Z (11 months ago)
- Topics: ai, deep-learning, julia, kaggle, keras, machine-learning, python, r, sklearn, tensorflow
- Language: R
- Homepage:
- Size: 9.75 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 23
-
Metadata Files:
- Readme: README.md
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README
# My Data Science Practice
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).
### \
- [Kaggle](#kaggle)
- [Competitions](#competitions)
- [Analysis](#analysis)
- [Programming Languages](#programming-languages)
- [Julia](#julia)
- [Python](#python)
- [R](#r)
- [ETC](#etc)
- [빅데이터분석기사 (실기)](#빅데이터분석기사-실기)
## [Kaggle](#list)
### [Competitions](#list)
[Kaggle](https://www.kaggle.com/kangrokkim) than Gargle!
- [Titanic](/Kaggle/Competitions/Titanic/)
- [R : Random Forest (2023.12.02)](/Kaggle/Competitions/Titanic/README.md#r--random-forest-20231202)
- [Python : HGB 1.2 (2022.07.31)](/Kaggle/Competitions/Titanic/README.md#python--hgb-12-20220731)
- [Python : HGB 1.1 (2022.07.28)](/Kaggle/Competitions/Titanic/README.md#python--hgb-11-20220728)
- [Python : HGB 1.0 (2022.07.27)](/Kaggle/Competitions/Titanic/README.md#python--hgb-10-20220727)
### [Analysis](#list)
These belong to Kaggle but are not related to competitions.
- [Data Splitting Practice in R (2023.08.05)](/Kaggle/Analysis/DataSplitting/)
- [Trends of *F1 Score* with Changes in Precision and Recall (2023.06.25)](/Kaggle/Analysis/F1Score/)
- [Decision Tree Regression with *Used Car Prices* in R (2022.12.07)](/Kaggle/Analysis/CarPrice/)
- [Black Jack](/Kaggle/Analysis/BlackJack/)
- [1. Set Initial Cards](/Kaggle/Analysis/BlackJack/README.md#1-set-initial-cards)
- [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)
- [0. Generate Cards' Data (2022.08.06)](/Kaggle/Analysis/BlackJack/README.md#0-generate-cards-data-20220806)
## [Programming Languages](#list)
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.
### [Julia](#list)
- [Monte Carlo Simulation of Price Index Random Walks (2024.11.20)](/Julia/README.md#monte-carlo-simulation-of-price-index-random-walks-20241120)
- [Triple Pendulum Simulation (2024.09.23)](/Julia/README.md#triple-pendulum-simulation-20240923)
- [Double Pendulum Simulation (2024.09.22)](/Julia/README.md#double-pendulum-simulation-20240922)
- [K-Means Clustering for Text Data (2024.08.05)](/Julia/README.md#k-means-clustering-for-text-data-20240805)
- [Initial Practice (2024.05.28)](/Julia/README.md#initial-practice-20240528)
### [Python](#list)
- [Shuffle List (2020.03.30)](/Python/README.md#shuffle-list-20200330)
- [Random Seed Influence (2020.01.05)](/Python/README.md#random-seed-influence-20200105)
- [Square Root (2020.01.01) (adjusted 2020.01.04)](/Python/README.md#square-root-20200101)
- [Limited Range Sampling (2019.09.22)](/Python/README.md#limited-range-sampling-20190922)
### [R](#list)
- [`any()` & `all()` Practice (2024.02.19)](/R/README.md#any--all-practice-20240219)
- [Slicing String with `substr()` (2023.06.26)](/R/README.md#slicing-string-with-substr-20230626)
- [`List` Practice in R (2022.11.22)](/R/README.md#list-in-r-20221122)
- [`Shiny` - 1st Trial (2022.05.04)](/R/README.md#shiny---1st-trial-20220504)
- [Scatter Points in a Circle (2021.08.16)](/R/README.md#scatter-points-in-a-circle-20210816)
- [Permutations and Combinations (2021.04.05)](/R/README.md#permutations-and-combinations-20210405)
- [Generating Array and Variables by for Loop (2019.12.06)](/R/README.md#generating-array-and-variables-by-for-loop-20191206)
- [Fibonacci Tornado (2017.05.07)](/R/README.md#fibonacci-tornado-20170507)
## [ETC](#list)
### [빅데이터분석기사 (실기)](#list)
- 예시문제
- [작업형 제1유형 (2023.06.23)](/BAE/README.md#작업형-제1유형-20230623)
- [작업형 제2유형](/BAE/README.md##작업형-제2유형)
- [Trial 1 : Decision Tree (2023.06.23)](/BAE/README.md#trial-1--decision-tree-20230623)
- [Trial 2 : Random Forest (2024.06.21)](/BAE/README.md#trial-2--random-forest-20240621)
- [작업형 제3유형 (신유형, 2023.04.25)](/BAE/README.md#작업형-제3유형-신유형-20230425)
- 기출문제
- [제5회 : 필답형 9번 (2022.12.03)](/BAE/README.md#제5회--필답형-9번-20221203)