dsai-gate
A Repository consisting resources primarily of the Gate DA and AI
파일 탐색기
최종 버전 다운로드 (.zip)- pages.yml
- repository-checks.yml
- AI_Cheat_Sheet.png
- All_cheat_sheet.pdf
- handout1.pdf
- handout2.pdf
- handout3.pdf
- handout4.pdf
- index
- Calculus.png
- calculus_cheat_sheet_all.pdf
- index
- index
- GA_2026_Syllabus.pdf
- mlops_page-0001.jpg
- index
- Linear_Algebra_cheet_sheet.png
- refresher-algebra-calculus.pdf
- regression_readme.md
- Regression_Solutions.ipynb
- Regression_Unsolved.ipynb
- salary_pred_data1.csv
- final2017_solutions.pdf
- final2018.pdf
- final2018_solutions.pdf
- final2019.pdf
- final2019_solutions.pdf
- final2022.pdf
- index
- inductive_bias_multiple_hypothesis_functions.png
- Machine_Learning_Cheatsheet.png
- Machine_Learning_Cheatsheet_Index.png
- main_notes.pdf
- midterm2018_solutions.pdf
- midterm2019_solutions.pdf
- midterm2022_solutions.pdf
- super-cheatsheet-machine-learning.pdf
- index
- probability_cheatsheet.pdf
- stat_cheatsheet.png
- agent.md
- future_directions.md
- implementation_plan.md
- official-resources.md
- stale-links.md
- webapp.md
- ML_Fundamentals.md
- MLOPs.md
- binary_search_and_complexity.ipynb
- Classification.ipynb
- Classification.pdf
- Clustering.ipynb
- Clustering.pdf
- Dimensionality_Reduction.ipynb
- Dimensionality_Reduction.pdf
- projections_and_pca.ipynb
- kmeans_from_scratch.ipynb
- linear_regression_from_scratch.ipynb
- logistic_classification.ipynb
- conditional_probability_and_bayes.ipynb
- Regression.ipynb
- Regression.pdf
- PRML-README.md
- README.md
- DA.PYQ.2024.pdf
- DA.PYQ.2025.pdf
- DA.PYQ.2026.pdf
- DA.PYQ.Keys.2024.pdf
- DA.PYQ.Keys.2025.pdf
- DA.PYQ.Keys.2026.pdf
- README.md
- SHA256SUMS
- build_example_notebooks.py
- check_new_links.py
- test_check_new_links.py
- A-First-Course-in-Probability.pdf
- convex-1.pdf
- gaussians.pdf
- prob.pdf
- Conditional_Probability.md
- Inductive_Bias.md
- Probability_Distributions.md
- dsai-gate-hero.svg
- app.js
- favicon.svg
- styles.css
- index.html
- README-redesign.md
- __init__.py
- app.py
- build.py
- content.py
- requirements.txt
- tests.py
- .gitignore
- Artificial-Intelligence-Readme.md
- Calculus-and-Optimization-Readme.md
- Database-Management-Readme.md
- fix_links.py
- LICENSE
- Linear-Algebra-Readme.md
- Machine-Learning-Readme.md
- Probability-Statistics-Readme.md
- Programming-and-Algorithms-Readme.md
- README.md
- Resources.md
🚀 설치 가이드
1. 코드 내려받기
git clone https://github.com/DS-AI-GATE/dsai-gate
깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.
cd dsai-gate
방금 내려받은 프로젝트 폴더 안으로 이동합니다.
2. Python
쉬움 추천사전 준비물
pip install -r webapp/requirements.txt
requirements.txt 등에 명시된 파이썬 라이브러리를 설치합니다.
jupyter notebook
브라우저에서 노트북(.ipynb) 파일들을 열람하고 실행할 수 있는 Jupyter 화면을 켭니다.
에러 메시지 없이 실행되고 터미널에 안내 문구가 출력되면 정상입니다.
// repository documentation
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