Standard process of machine learning modeling for Python data analysis (data engineering + modeling parameter adjustment + model evaluation + whole process visualization)

Author CSDN: Sisyphus of the attack Link to this article: https://blog.csdn.net/qq_42216093/article/details/116994199 Copyright notice: This article is the author's original article. Reprint requires the consent of the author Nowadays, machine learning is hot, and Python is the most commonly used implementation of machine learning for ...

Posted by XxDeadmanxX on Tue, 14 Sep 2021 04:58:38 +0200

Principle and sklearn implementation of decision tree in machine learning

1. General 1.1 how does the decision tree work? Decision Tree is a nonparametric supervised learning method. It can summarize decision rules from a series of characteristic and labeled data, and present these rules with the structure of tree view to solve the problems of classification and regression. Decision Tree algorithm is easy to unders ...

Posted by Darkmatter5 on Sun, 05 Sep 2021 04:20:17 +0200

[sklearn] 1. Classification decision tree

preface Decision tree is a common algorithm in machine learning. Relevant mathematical theories I also wrote in the column of mathematical modeling Mathematical modeling learning notes (XXV) decision tree Yes, this blog post does not pay attention to the relevant mathematical principles, but mainly focuses on the effect of using sklearn to re ...

Posted by scm24 on Fri, 03 Sep 2021 20:05:40 +0200