[ML] sklearn 總覽 === ###### tags: `ML / sklearn` ###### tags: `ML`, `sklearn`, `python` <br> [TOC] <br> ## https://scikit-learn.org/stable/ - [Classification](https://scikit-learn.org/stable/auto_examples/index.html#classification)  - [Regression](https://scikit-learn.org/stable/auto_examples/index.html#examples)  - [Clustering](https://scikit-learn.org/stable/auto_examples/index.html#cluster-examples)  ## [sklearn.linear_model: Linear Models](https://scikit-learn.org/stable/modules/classes.html#module-sklearn.multiclass) ### Linear classifiers ### Classical linear regressors <br> ## [sklearn.svm: Support Vector Machines](https://scikit-learn.org/stable/modules/classes.html#module-sklearn.svm) ### Support Vector Classification - ### [SVM / SVC](https://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html) - ### [SVM / NuSVC](https://scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVC.html) - ### [SVM / LinearSVC](https://scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.html) ### Support Vector Regression - ### [SVM / SVR](https://scikit-learn.org/stable/modules/generated/sklearn.svm.SVR.html) - ### [SVM / NuSVR](https://scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVR.html) - ### [SVM / LinearSVR](https://scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVR.html) <br> ## [sklearn.multiclass: Multiclass classification](https://scikit-learn.org/stable/modules/classes.html#module-sklearn.multiclass) <br> <hr> <br> ## metrics - [What are the parameters for sklearn's score function?](https://stackoverflow.com/questions/24458163/what-are-the-parameters-for-sklearns-score-function) - [Metrics and scoring: quantifying the quality of predictions](https://scikit-learn.org/stable/modules/model_evaluation.html) [](https://i.imgur.com/fMvZARR.png) <br> [](https://i.imgur.com/MSn0pr2.png) <br> [](https://i.imgur.com/h4piJDa.png) - [深度研究:回归模型评价指标R2_score](https://aijishu.com/a/1060000000079690) <br> <hr> <br> ## 超參數搜尋 - [GridSearchCV](http://sofasofa.io/forum_main_post.php?postid=1001143) <br> <hr> <br> ## 教學 - [[sklearn] Recursive Feature Elimination (RFE) for Feature Selection in Python](https://machinelearningmastery.com/rfe-feature-selection-in-python/) - [[auto-sklearn] Auto-Sklearn for Automated Machine Learning in Python](https://machinelearningmastery.com/auto-sklearn-for-automated-machine-learning-in-python/) :+1: <br> <hr> <br>
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