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principal component analysis 1. Summary Principal component analysis was proposed by Karl Pearson in 1903 and improved from another perspective by Harold Hotelling in the 1930s. It is a method suitable for high-dimensional data and exploratory data analysis. As one of the first algorithms applied to pattern recognition and machine lea ...

Tip: here is a hard Ken 📕 If Xiaobai makes a mistake, change it. Don't spray it:) preface The sky can be mended, the sea can be filled, the mountains can be moved, the sun and the moon are past, and can not be pursued again. Decision Tree is based on tree structure to make decisions. (classification, regression) A decision tree contai ...

To create an array object: You can create an array of ndarrays through the array function of the NumPy library. Generally speaking, ndarray is a common data container, that is, all elements in it need the same type. NumPy library can convert data (list, tuple, array or other sequence types) into ndarray array 1. Create an array object using a ...

matplotlib: Art Brush sees the world 1, Overview 1. Three layer api of Matplotlib The principle or basic logic of matplotlib is to render graphics on the canvas with Artist objects. It is similar to the steps of human painting: Prepare a canvas or drawing paperPrepare paint, brush and other drawing toolspaint a picture [external chain pict ...

feature selection Reason for feature selection Redundancy: some features have high correlation and are easy to consume computing performance Noise: some features have a negative impact on the prediction results What is feature selection Feature selection is simply to select some features from all the extracted features as the features o ...

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 ...

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, ...

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 ...