README.md

Example codes for Machine Learning Education (https://github.com/callee2006/MachineLearning)

• colab에서 open, run 방법

  1. colab 열기 (colab.research.google.com)

  2. Google account로 로그인

  3. 파일 -> 노트열기 -> GITHUB

     GitHub URL에 "https://github.com/callee2006/MachineLearning"

  4. 노트 선택 및 실행

(git 설치 후 "git clone https://github.com/callee2006/MachineLearning" 하면 다운로드 받으실 수 있지만, scikit-learn, matplotlib, graphviz, pytorch, mglearn 등이 설치되어 있어야 실행 가능합니다.)

예제코드 목록

• python quickstart examples

  • python_core.ipynb (minimum tutorial)
  • python_tutorial.ipynb (quick tutorial)

• accessing datasets in python

  • dataset.ipynb

• k-nearest neighbor

  • kNN_IRIS.ipynb

• linear and regularized regression (including Ridge, Lasso, Elastic-Net)

  • linear_regression.ipynb

• Decision Tree, Random Forests, XGBoost

  • tree_and_ensemble.ipynb

• Support Vector Machines

  • SVM (scikit-learn).ipynb

• MLP examples - scikit-learn

  • MLP (scikit-learn).ipynb

• MLP examples - pytorch

  • MLP_MNIST.ipynb # digit image classification
  • MLP_regression.ipynb # regression using MLP
  • MLP_autoencoder.ipynb # autoencoder

• CNN example - pytorch

  • CNN_MNIST.ipynb # CPU and GPU

• RNN (sequence prediction) - pytorcyh

  • sequence_prediction (RNN).ipynb
  • sequence_prediction (LSTM per time).ipynb
  • sequence_prediction (LSTM per seq).ipynb # CPU and GPU