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‎README_ko.md‎

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@@ -14,16 +14,16 @@ NumPy 는 Python 과학 컴퓨팅의 기반입니다. 이 스킬 트리는 NumPy
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| 인덱스 | 이름 | 난이도 | 연습 |
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|----------|---------------------------------------------------------------------------------------------------------------------------------|----------|-------------------------------------------------------------------------------------------------------------|
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| 1 | [OpenCV 를 활용한 ASCII 아트 애니메이션](https://labex.io/ko/courses/project-ascii-art-animation-with-opencv) | ★☆☆ | [🚀 실습 시작](https://labex.io/ko/courses/project-ascii-art-animation-with-opencv) |
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| 2 | [지구와 슈퍼 목성의 중력 시뮬레이션](https://labex.io/ko/courses/project-gravitational-simulation-of-earth-and-super-jupiter) | ★☆☆ | [🚀 실습 시작](https://labex.io/ko/courses/project-gravitational-simulation-of-earth-and-super-jupiter) |
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| 3 | [K-최근접 이웃 회귀 알고리즘 구현](https://labex.io/ko/courses/project-k-nearest-neighbors-regression-algorithm-implementation) | ★☆☆ | [🚀 실습 시작](https://labex.io/ko/courses/project-k-nearest-neighbors-regression-algorithm-implementation) |
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| 4 | [민코프스키 거리 메트릭 구현](https://labex.io/ko/courses/project-implementing-minkowski-distance-metric) | ★☆☆ | [🚀 실습 시작](https://labex.io/ko/courses/project-implementing-minkowski-distance-metric) |
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| 5 | [다항 회귀 구현](https://labex.io/ko/courses/project-polynomial-regression-implementation-and-application) | ★☆☆ | [🚀 실습 시작](https://labex.io/ko/courses/project-polynomial-regression-implementation-and-application) |
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| 6 | [간단한 손글씨 문자 인식 분류기](https://labex.io/ko/courses/project-simple-handwritten-character-recognition-classifier) | ★☆☆ | [🚀 실습 시작](https://labex.io/ko/courses/project-simple-handwritten-character-recognition-classifier) |
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| 1 | [OpenCV 를 활용한 ASCII 아트 애니메이션](https://labex.io/ko/courses/project-ascii-art-animation-with-opencv) | 초급 | [🚀 실습 시작](https://labex.io/ko/courses/project-ascii-art-animation-with-opencv) |
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| 2 | [지구와 슈퍼 목성의 중력 시뮬레이션](https://labex.io/ko/courses/project-gravitational-simulation-of-earth-and-super-jupiter) | 초급 | [🚀 실습 시작](https://labex.io/ko/courses/project-gravitational-simulation-of-earth-and-super-jupiter) |
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| 3 | [K-최근접 이웃 회귀 알고리즘 구현](https://labex.io/ko/courses/project-k-nearest-neighbors-regression-algorithm-implementation) | 초급 | [🚀 실습 시작](https://labex.io/ko/courses/project-k-nearest-neighbors-regression-algorithm-implementation) |
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| 4 | [민코프스키 거리 메트릭 구현](https://labex.io/ko/courses/project-implementing-minkowski-distance-metric) | 초급 | [🚀 실습 시작](https://labex.io/ko/courses/project-implementing-minkowski-distance-metric) |
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| 5 | [다항 회귀 구현](https://labex.io/ko/courses/project-polynomial-regression-implementation-and-application) | 초급 | [🚀 실습 시작](https://labex.io/ko/courses/project-polynomial-regression-implementation-and-application) |
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| 6 | [간단한 손글씨 문자 인식 분류기](https://labex.io/ko/courses/project-simple-handwritten-character-recognition-classifier) | 초급 | [🚀 실습 시작](https://labex.io/ko/courses/project-simple-handwritten-character-recognition-classifier) |
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## 더 보기
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- 🔗 [NumPy 자세히 알아보기](https://labex.io/ko/skilltrees/numpy)
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- 🔗 [Awesome Programming Projects](https://github.com/labex-labs/awesome-programming-projects)
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- 🔗 [Awesome Programming Courses](https://github.com/labex-labs/awesome-programming-courses)
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- 🔗 [멋진 프로그래밍 프로젝트](https://github.com/labex-labs/awesome-programming-projects)
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- 🔗 [멋진 프로그래밍 코스](https://github.com/labex-labs/awesome-programming-courses)
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