{"id":20949670,"url":"https://github.com/matsunagalab/lecture_ml","last_synced_at":"2025-05-14T03:32:15.614Z","repository":{"id":159224636,"uuid":"628876491","full_name":"matsunagalab/lecture_ML","owner":"matsunagalab","description":"Google colab notebooks used in a lecture on machine learning","archived":false,"fork":false,"pushed_at":"2024-07-15T14:43:39.000Z","size":5751,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":4,"default_branch":"main","last_synced_at":"2024-07-16T09:55:44.847Z","etag":null,"topics":["lecture","notebooks","pymc","scikit-learn","torch"],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 機械学習 notebooks\n埼玉大学工学部情報工学科で前期に開講している「機械学習」の講義で、事後学習として用いる Google colab notebooks を置いています。下のバッジをクリックして開いてください。\n\n## 01 ガイダンス\n[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/matsunagalab/lecture_ML/blob/main/machine_learning_01.ipynb)\n\n## 02 機械学習の種類\n[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/matsunagalab/lecture_ML/blob/main/machine_learning_02.ipynb)\n\n## 03 回帰その1：基本的事項\n[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/matsunagalab/lecture_ML/blob/main/machine_learning_03.ipynb)\n\n## 04 回帰その2：過学習と正則化\n[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/matsunagalab/lecture_ML/blob/main/machine_learning_04.ipynb)\n\n## 05 識別その1：基本的事項\n[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/matsunagalab/lecture_ML/blob/main/machine_learning_05.ipynb)\n\n## 06 識別その2：サポートベクトルマシン\n[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/matsunagalab/lecture_ML/blob/main/machine_learning_06.ipynb)\n\n## 07 識別その3：決定木とアンサンブル学習\n[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/matsunagalab/lecture_ML/blob/main/machine_learning_07.ipynb)\n\n## 08 教師なし学習その1：基本的事項\n[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/matsunagalab/lecture_ML/blob/main/machine_learning_08.ipynb)\n\n## 09 教師なし学習その2：生成モデル入門\n[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/matsunagalab/lecture_ML/blob/main/machine_learning_09.ipynb)\n\n## 10 教師なし学習その3：階層的クラスタリングと主成分分析\n[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/matsunagalab/lecture_ML/blob/main/machine_learning_10.ipynb)\n\n## 12 ニューラルネットワークその2：ニューラルネットの学習\n[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/matsunagalab/lecture_ML/blob/main/machine_learning_12.ipynb)\n\n## 13 ニューラルネットワークその3：代表的なニューラルネット\nCNN \n[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/matsunagalab/lecture_ML/blob/main/machine_learning_13_1.ipynb)\n\nVAE\n[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/matsunagalab/lecture_ML/blob/main/machine_learning_13_2.ipynb)\n\n## 14 ベイズ推論その1：基本的事項\n[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/matsunagalab/lecture_ML/blob/main/machine_learning_14.ipynb)\n\n## 15 ベイズ推論その2：ベイズ線形回帰\n[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/matsunagalab/lecture_ML/blob/main/machine_learning_15.ipynb)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmatsunagalab%2Flecture_ml","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmatsunagalab%2Flecture_ml","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmatsunagalab%2Flecture_ml/lists"}