https://github.com/choidae1/machine-deeplearing-study

Repo for learning 「혼자 공부하는 머신러닝+딥러닝」(한빛 미디어)
https://github.com/choidae1/machine-deeplearing-study

colab keras python tensorflow tensorflow-tutorials

Last synced: 5 days ago
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Repo for learning 「혼자 공부하는 머신러닝+딥러닝」(한빛 미디어)

• Host: GitHub
• URL: https://github.com/choidae1/machine-deeplearing-study
• Owner: ChoiDae1
• Created: 2021-11-30T10:21:07.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2021-11-30T17:53:27.000Z (almost 3 years ago)
• Last Synced: 2024-10-11T08:41:36.451Z (28 days ago)
• Topics: colab, keras, python, tensorflow, tensorflow-tutorials
• Language: Jupyter Notebook
• Homepage:
• Size: 5.72 MB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Machine-DeepLearing_Study

By studying a book named _**'혼자 공부하는 머신러닝+딥러닝'**_, I organized what I learned about Sklearn and Tensorflow in this repository. 

### Ch1.My first MachineLearning

- Concept of ML, DL

- Colab and Jupyter Notebook

### Ch2.Data handling

- train set and test set

- Data preprocessing

### Ch3.Regression and Model Reguralization

- KNeighborsRegressor [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/KNeighborsRegressor.ipynb)

- LinearRegression [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/Linear%20Regression.ipynb)

- PolynomialRegression [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/Polynomial%20Regression.ipynb)

- Reguralization [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/Reguralization.ipynb)

### Ch4.Various Classify Algorithms

- LogisticRegression [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/Logistic%20Regression.ipynb)

- Stochastic Gradient Decent [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/SGD.ipynb)

### Ch5.Tree Algorithms

- DecisionTree [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/DecisionTree.ipynb)

- Cross validate and Grid Search [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/Cross%20validate%20and%20Grid%20Search.ipynb)

- Ensemble [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/Ensemble.ipynb)

### Ch6.Unsupervised Learning

- Clustering Algorithms [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/Clustering%20Algorithm.ipynb)

- K-Mean [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/K-Mean.ipynb)

- PCA [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/PCA.ipynb)

### Ch7.DeepLearning

- ANN [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/ANN.ipynb)

- DNN [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/DNN.ipynb)

- Training Neural Network Model [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/Training%20Neural%20Network%20Model.ipynb)

### Ch8.ANN for image(CV)

- CNN [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/CNN.ipynb)

- Visualize CNN(XAI) [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/Visualize%20CNN.ipynb)

### Ch9.ANN for text(NLP)

- Simple RNN [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/Simple%20RNN.ipynb)

- LSTM and GRU [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/LSTM_GRU.ipynb)