{"id":13608379,"url":"https://github.com/rickiepark/hg-mldl","last_synced_at":"2025-05-16T00:08:58.307Z","repository":{"id":44683900,"uuid":"297257077","full_name":"rickiepark/hg-mldl","owner":"rickiepark","description":"\u003c혼자 공부하는 머신러닝+딥러닝\u003e의 코드 저장소입니다.","archived":false,"fork":false,"pushed_at":"2024-12-31T03:05:24.000Z","size":54705,"stargazers_count":287,"open_issues_count":0,"forks_count":251,"subscribers_count":6,"default_branch":"master","last_synced_at":"2025-04-08T11:12:23.940Z","etag":null,"topics":["deep-learning","keras","machine-learning","scikit-learn","tensorflow"],"latest_commit_sha":null,"homepage":"https://tensorflow.blog/hg-mldl/","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/rickiepark.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2020-09-21T07:08:35.000Z","updated_at":"2025-04-07T09:26:38.000Z","dependencies_parsed_at":"2024-11-07T14:33:22.258Z","dependency_job_id":"ffd0924b-c1b0-4577-877b-03f016a5d7ec","html_url":"https://github.com/rickiepark/hg-mldl","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rickiepark%2Fhg-mldl","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rickiepark%2Fhg-mldl/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rickiepark%2Fhg-mldl/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rickiepark%2Fhg-mldl/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rickiepark","download_url":"https://codeload.github.com/rickiepark/hg-mldl/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254442855,"owners_count":22071878,"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":["deep-learning","keras","machine-learning","scikit-learn","tensorflow"],"created_at":"2024-08-01T19:01:26.837Z","updated_at":"2025-05-16T00:08:53.265Z","avatar_url":"https://github.com/rickiepark.png","language":"Jupyter Notebook","funding_links":[],"categories":["Jupyter Notebook"],"sub_categories":[],"readme":"# \u003c혼자 공부하는 머신러닝+딥러닝\u003e의 주피터 노트북\n\n이 저장소는 한빛미디어에서 출간한 책인 [혼자 공부하는 머신러닝+딥러닝](https://tensorflow.blog/hg-mldl/)에 포함된 코드를 주피터 노트북으로 제공합니다.\n\n![cover.png](cover.png)\n\n이 책을 위해 동영상 강의를 제공합니다. [텐서 ≈ 스터디 페이스북 그룹]()에 함께 참여하시거나 [한빛미디어 유튜브 채널](https://www.youtube.com/user/HanbitMedia93), 제 [개인 유튜브 채널](https://www.youtube.com/c/HaesunPark_ML/)에서 볼 수 있습니다.\n\n주피터 노트북 뷰어나 코랩에서 노트북을 열려면 다음 링크를 사용하세요.\n\n* 1-3 마켓과 머신러닝 [[nbviewer](https://nbviewer.jupyter.org/github/rickiepark/hg-mldl/blob/master/1-3.ipynb)], [[Colab](https://colab.research.google.com/github/rickiepark/hg-mldl/blob/master/1-3.ipynb)]\n* 2-1 훈련 세트와 테스트 세트 [[nbviewer](https://nbviewer.jupyter.org/github/rickiepark/hg-mldl/blob/master/2-1.ipynb)], [[Colab](https://colab.research.google.com/github/rickiepark/hg-mldl/blob/master/2-1.ipynb)]\n* 2-2 데이터 전처리 [[nbviewer](https://nbviewer.jupyter.org/github/rickiepark/hg-mldl/blob/master/2-2.ipynb)], [[Colab](https://colab.research.google.com/github/rickiepark/hg-mldl/blob/master/2-2.ipynb)]\n* 3-1 k-최근접 이웃 [[nbviewer](https://nbviewer.jupyter.org/github/rickiepark/hg-mldl/blob/master/3-1.ipynb)], [[Colab](https://colab.research.google.com/github/rickiepark/hg-mldl/blob/master/3-1.ipynb)]\n* 3-2 선형 회귀 [[nbviewer](https://nbviewer.jupyter.org/github/rickiepark/hg-mldl/blob/master/3-2.ipynb)], [[Colab](https://colab.research.google.com/github/rickiepark/hg-mldl/blob/master/3-2.ipynb)]\n* 3-3 특성 공학과 규제 [[nbviewer](https://nbviewer.jupyter.org/github/rickiepark/hg-mldl/blob/master/3-3.ipynb)], [[Colab](https://colab.research.google.com/github/rickiepark/hg-mldl/blob/master/3-3.ipynb)]\n* 4-1 로지스틱 회귀 [[nbviewer](https://nbviewer.jupyter.org/github/rickiepark/hg-mldl/blob/master/4-1.ipynb)], [[Colab](https://colab.research.google.com/github/rickiepark/hg-mldl/blob/master/4-1.ipynb)]\n* 4-2 확률적 경사 하강법 [[nbviewer](https://nbviewer.jupyter.org/github/rickiepark/hg-mldl/blob/master/4-2.ipynb)], [[Colab](https://colab.research.google.com/github/rickiepark/hg-mldl/blob/master/4-2.ipynb)]\n* 5-1 결정 트리 [[nbviewer](https://nbviewer.jupyter.org/github/rickiepark/hg-mldl/blob/master/5-1.ipynb)], [[Colab](https://colab.research.google.com/github/rickiepark/hg-mldl/blob/master/5-1.ipynb)]\n* 5-2 교차 검증과 그리드 서치 [[nbviewer](https://nbviewer.jupyter.org/github/rickiepark/hg-mldl/blob/master/5-2.ipynb)], [[Colab](https://colab.research.google.com/github/rickiepark/hg-mldl/blob/master/5-2.ipynb)]\n* 5-3 트리의 앙상블 [[nbviewer](https://nbviewer.jupyter.org/github/rickiepark/hg-mldl/blob/master/5-3.ipynb)], [[Colab](https://colab.research.google.com/github/rickiepark/hg-mldl/blob/master/5-3.ipynb)]\n* 6-1 군집 알고리즘 [[nbviewer](https://nbviewer.jupyter.org/github/rickiepark/hg-mldl/blob/master/6-1.ipynb)], [[Colab](https://colab.research.google.com/github/rickiepark/hg-mldl/blob/master/6-1.ipynb)]\n* 6-2 k-평균 [[nbviewer](https://nbviewer.jupyter.org/github/rickiepark/hg-mldl/blob/master/6-2.ipynb)], [[Colab](https://colab.research.google.com/github/rickiepark/hg-mldl/blob/master/6-2.ipynb)]\n* 6-3 주성분 분석 [[nbviewer](https://nbviewer.jupyter.org/github/rickiepark/hg-mldl/blob/master/6-3.ipynb)], [[Colab](https://colab.research.google.com/github/rickiepark/hg-mldl/blob/master/6-3.ipynb)]\n* 7-1 인공 신경망 [[nbviewer](https://nbviewer.jupyter.org/github/rickiepark/hg-mldl/blob/master/7-1.ipynb)], [[Colab](https://colab.research.google.com/github/rickiepark/hg-mldl/blob/master/7-1.ipynb)]\n* 7-2 심층 신경망 [[nbviewer](https://nbviewer.jupyter.org/github/rickiepark/hg-mldl/blob/master/7-2.ipynb)], [[Colab](https://colab.research.google.com/github/rickiepark/hg-mldl/blob/master/7-2.ipynb)]\n* 7-3 신경망 모델 훈련 [[nbviewer](https://nbviewer.jupyter.org/github/rickiepark/hg-mldl/blob/master/7-3.ipynb)], [[Colab](https://colab.research.google.com/github/rickiepark/hg-mldl/blob/master/7-3.ipynb)]\n* 8-2 합성곱 신경망을 사용한 이미지 분류 [[nbviewer](https://nbviewer.jupyter.org/github/rickiepark/hg-mldl/blob/master/8-2.ipynb)], [[Colab](https://colab.research.google.com/github/rickiepark/hg-mldl/blob/master/8-2.ipynb)]\n* 8-3 합성곱 신경망의 시각화 [[nbviewer](https://nbviewer.jupyter.org/github/rickiepark/hg-mldl/blob/master/8-3.ipynb)], [[Colab](https://colab.research.google.com/github/rickiepark/hg-mldl/blob/master/8-3.ipynb)]\n* 9-2 순환 신경망으로 IMDB 리뷰 분류하기 [[nbviewer](https://nbviewer.jupyter.org/github/rickiepark/hg-mldl/blob/master/9-2.ipynb)], [[Colab](https://colab.research.google.com/github/rickiepark/hg-mldl/blob/master/9-2.ipynb)]\n* 9-3 LSTM과 GRU 셀 [[nbviewer](https://nbviewer.jupyter.org/github/rickiepark/hg-mldl/blob/master/9-3.ipynb)], [[Colab](https://colab.research.google.com/github/rickiepark/hg-mldl/blob/master/9-3.ipynb)]\n\n온라인/오프라인 서점에서 판매중입니다! [Yes24](http://www.yes24.com/Product/Goods/96024871), [알라딘](https://www.aladin.co.kr/shop/wproduct.aspx?ItemId=257932080)\n\n감사합니다! :)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frickiepark%2Fhg-mldl","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frickiepark%2Fhg-mldl","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frickiepark%2Fhg-mldl/lists"}