Machine learning Decision tree

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機器學習: Ensemble learning之Bagging、Boosting和AdaBoost

https://chih-sheng-huang821.medium.com/%E6%A9%9F%E5%99%A8%E5%AD%B8%E7%BF%92-ensemble-learning%E4%B9%8Bbagging-boosting%E5%92%8Cadaboost-af031229ebc3

#

SPAM Detection with Decision Trees

https://mef-bda503.github.io/pj-sevgilit/files/SPAM.html

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Decision Trees Concepts with Iris Dataset

https://medium.com/intuitive-machine-learning/decision-trees-concepts-with-iris-dataset-304648b961f5

#XGBoost

https://slundberg.github.io/shap/notebooks/Census%20income%20classification%20with%20XGBoost.html

# Decision tree

https://ithelp.ithome.com.tw/articles/10271143

https://sites.google.com/view/zsgititit/home/ji-qi-xue-xi/%E6%B1%BA%E7%AD%96%E6%A8%B9decision-trees

http://debussy.im.nuu.edu.tw/sjchen/MachineLearning/final/CLS_DT.pdf

https://chtseng.wordpress.com/2017/02/10/%E6%B1%BA%E7%AD%96%E6%A8%B9-decision-trees/

https://buggyprogrammer.com/random-forest-based-features-selection/

機器學習_學習筆記系列(36)：隨機森林分類(Random Forest Classifier)

https://tomohiroliu22.medium.com/%E6%A9%9F%E5%99%A8%E5%AD%B8%E7%BF%92-%E5%AD%B8%E7%BF%92%E7%AD%86%E8%A8%98%E7%B3%BB%E5%88%97-36-%E9%9A%A8%E6%A9%9F%E6%A3%AE%E6%9E%97%E5%88%86%E9%A1%9E-random-forest-classifier-bd902dc107c5

https://tomohiroliu22.medium.com/%E6%A9%9F%E5%99%A8%E5%AD%B8%E7%BF%92-%E5%AD%B8%E7%BF%92%E7%AD%86%E8%A8%98%E7%B3%BB%E5%88%97-24-%E6%B1%BA%E7%AD%96%E6%A8%B9%E5%88%86%E9%A1%9E-decision-tree-classifier-f79eb277e7a1

https://medium.com/@gary1346aa/%E6%A9%9F%E6%A2%B0%E5%AD%B8%E7%BF%92-gradient-boosting-1-272e8d7b17e1

https://www.baeldung.com/cs/gradient-boosting-trees-vs-random-forests

# sci ket and online test

https://scikit-learn.org/stable/

https://onecompiler.com/python/3z7xujrzn 

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資料視覺化之 Decision tree (決策樹)範例與 Machine Learning (機器學習) 概念簡單教學(入門)

https://tree.rocks/decision-tree-graphviz-contour-with-pandas-gen-train-test-dataset-for-beginner-9137b7c8416a

# 深度學習

https://tomohiroliu22.medium.com/%E6%B7%B1%E5%BA%A6%E5%AD%B8%E7%BF%92paper%E7%B3%BB%E5%88%97-01-deep-learning-38dfd9b6a9dc

good author

https://tomohiroliu22.medium.com/

# 測試衡量

https://cynthiachuang.github.io/Common-Evaluation-MetricAccuracy-Precision-Recall-F1-ROCAUC-and-PRAUC/

# 

機器學習Lesson 20— 為什麼「梯度提升」會叫「梯度」提升呢？

https://flag-editors.medium.com/%E6%A9%9F%E5%99%A8%E5%AD%B8%E7%BF%92lesson-20-%E7%82%BA%E4%BB%80%E9%BA%BC-%E6%A2%AF%E5%BA%A6%E6%8F%90%E5%8D%87-%E6%9C%83%E5%8F%AB-%E6%A2%AF%E5%BA%A6-%E6%8F%90%E5%8D%87%E5%91%A2-48a2d4585f44

# 學習文章

http://debussy.im.nuu.edu.tw/sjchen/ML_final.html

成為機器學習的王者系列 第 1 篇

https://ithelp.ithome.com.tw/articles/10216118