Machine learning sklearn ---- first knowledge of KMeans

summary KMeans is an unsupervised learning method. He is a classification algorithm. It is used to explore the original data and classify the samples with the same attributes in the original data. This article only talks about the simple use of KMeans. For the content about the evaluation results, see my next article. Several concepts in ...

Added by leafface on Sat, 16 Oct 2021 08:32:10 +0300

Use sklearn to compare various machine learning methods: SVM, XGBoost

Summary of common machine learning algorithms in sklearn (with python code) - Jianshu (jianshu.com)https://www.jianshu.com/p/641707e4e72c   Note: when using XGBoost algorithm, you need to set X_ train,y_ The data type of Tensor type variables such as train is set to nd array type, while other algorithms can directly use Tensor data type, ...

Added by keyoung on Mon, 11 Oct 2021 06:44:57 +0300

❤️ 20000 words, summarizing 50 pandas high-frequency operations [illustrated and worthy of collection] ❤️

Point, knock on the blackboard First of all, this paper follows the traditional teaching, point to point! Only some functions or processing methods that are frequently used by individuals are introduced.The examples in this article are only used for demonstration. Generally, the examples do not modify the original data. If the code will modif ...

Added by Daukan on Tue, 21 Sep 2021 14:21:22 +0300