https://github.com/matsunagalab/lecture_ml

Google colab notebooks used in a lecture on machine learning
https://github.com/matsunagalab/lecture_ml

lecture notebooks pymc scikit-learn torch

Last synced: about 1 month ago
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Google colab notebooks used in a lecture on machine learning

• Host: GitHub
• URL: https://github.com/matsunagalab/lecture_ml
• Owner: matsunagalab
• License: gpl-3.0
• Created: 2023-04-17T07:00:19.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-07-15T14:43:39.000Z (5 months ago)
• Last Synced: 2024-07-16T09:55:44.847Z (5 months ago)
• Topics: lecture, notebooks, pymc, scikit-learn, torch
• Language: Jupyter Notebook
• Homepage:
• Size: 5.48 MB
• Stars: 3
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# 機械学習 notebooks

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。

## 01 ガイダンス

[![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)

## 02 機械学習の種類

[![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)

## 03 回帰その1：基本的事項

[![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)

## 04 回帰その2：過学習と正則化

[![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)

## 05 識別その1：基本的事項

[![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)

## 06 識別その2：サポートベクトルマシン

[![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)

## 07 識別その3：決定木とアンサンブル学習

[![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)

## 08 教師なし学習その1：基本的事項

[![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)

## 09 教師なし学習その2：生成モデル入門

[![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)

## 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

[![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)

## 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

[![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)

## 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

CNN 

[![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)

VAE

[![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)

## 14 ベイズ推論その1：基本的事項

[![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)

## 15 ベイズ推論その2：ベイズ線形回帰

[![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)