{"id":15159266,"url":"https://github.com/choidae1/machine-deeplearing-study","last_synced_at":"2026-01-20T00:36:43.845Z","repository":{"id":128011978,"uuid":"433385241","full_name":"ChoiDae1/Machine-DeepLearing-Study","owner":"ChoiDae1","description":"Repo for learning 「혼자 공부하는 머신러닝+딥러닝」(한빛 미디어)","archived":false,"fork":false,"pushed_at":"2021-11-30T17:53:27.000Z","size":5998,"stargazers_count":1,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-07T16:19:49.907Z","etag":null,"topics":["colab","keras","python","tensorflow","tensorflow-tutorials"],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Machine-DeepLearing_Study\nBy studying a book named _**'혼자 공부하는 머신러닝+딥러닝'**_, I organized what I learned about Sklearn and Tensorflow in this repository. \n### Ch1.My first MachineLearning\n- Concept of ML, DL\n- Colab and Jupyter Notebook\n### Ch2.Data handling\n- train set and test set\n- Data preprocessing\n### Ch3.Regression and Model Reguralization\n- KNeighborsRegressor [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/KNeighborsRegressor.ipynb)\n- LinearRegression [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/Linear%20Regression.ipynb)\n- PolynomialRegression [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/Polynomial%20Regression.ipynb)\n- Reguralization [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/Reguralization.ipynb)\n### Ch4.Various Classify Algorithms\n- LogisticRegression [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/Logistic%20Regression.ipynb)\n- Stochastic Gradient Decent [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/SGD.ipynb)\n### Ch5.Tree Algorithms\n- DecisionTree [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/DecisionTree.ipynb)\n- Cross validate and Grid Search [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/Cross%20validate%20and%20Grid%20Search.ipynb)\n- Ensemble [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/Ensemble.ipynb)\n### Ch6.Unsupervised Learning\n- Clustering Algorithms [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/Clustering%20Algorithm.ipynb)\n- K-Mean [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/K-Mean.ipynb)\n- PCA [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/PCA.ipynb)\n### Ch7.DeepLearning\n- ANN [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/ANN.ipynb)\n- DNN [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/DNN.ipynb)\n- Training Neural Network Model [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/Training%20Neural%20Network%20Model.ipynb)\n### Ch8.ANN for image(CV)\n- CNN [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/CNN.ipynb)\n- Visualize CNN(XAI) [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/Visualize%20CNN.ipynb)\n### Ch9.ANN for text(NLP)\n- Simple RNN [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/Simple%20RNN.ipynb)\n- LSTM and GRU [code link](https://github.com/ChoiDae1/Machine-DeepLearing_Study/blob/main/LSTM_GRU.ipynb)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchoidae1%2Fmachine-deeplearing-study","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fchoidae1%2Fmachine-deeplearing-study","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchoidae1%2Fmachine-deeplearing-study/lists"}