阿旭机器学习knn算法的相关内容

[帮助文档] 机器学习线性支持向量机算法组件的配置及示例

支持向量机SVM（Support Vector Machine）是基于统计学习理论的一种机器学习方法，通过寻求结构风险最小化，提高学习机泛化能力，从而实现经验风险和置信范围最小化。本文介绍线性支持向量机算法组件的配置方法及使用示例。

阿旭机器学习实战【5】KNN算法实战练习2：利用KNN模型进行手写体数字识别

1. 数据集说明手写体数字识别数据集共有5000个样本图片。包含0-9这10个数字类别，每个数字为一个文件夹，每个文件夹下存放500张该数字的图片。图片信息：图片大小：像素为28 * 28图片类型：二维灰度图片，每个数字的数值范围为0-2552. 读取数据并查看数据信息import numpy as...

相册服务中的故事生成算法介绍

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Go语言核心编程 - 数据结构和算法

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神经网络概览及算法详解

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阿旭机器学习实战【4】KNN算法实战练习1：利用KNN算法预测某人对你喜欢程度

问题描述依据某婚恋网站上的数据信息，通过算法预测某人对你的喜欢程度。1. 读取数据import pandas as pd df=pd.read_csv('./datingTestSet.txt',sep='\t',header=None) df.head() 通过观察我们可以看到，根据前3列表征的是...

阿旭机器学习实战【3】KNN算法进行年收入预测

问题描述使用KNN算法训练模型，然后使用模型预测一个人的年收入是否大于50。读取数据集并查看数据# 导入相应库 import pandas as pd from pandas import Series,DataFrame import numpy as np df = pd.read_csv("....

阿旭机器学习实战【2】KNN算法进行人体动作识别

人类动作识别问题描述数据获取方式：数据采集每个人在腰部穿着智能手机信号，采用嵌入式加速度计和陀螺仪，以50Hz的恒定速度捕获3轴线性加速度和3轴角速度，来获取人类动作数据。主要进行了六个活动（步行，上楼，下楼，坐着，站立和躺着）的数据采集。目的：...

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