Python实现鸢尾花数据集分类问题——基于skearn的NaiveBayes 代码如下: # !/usr/bin/env python # encoding: utf-8 __author__ = 'Xiaolin Shen' from sklearn.naive_bayes import GaussianNB,BernoulliNB import numpy as np import pandas as pd from sklearn import preprocessing from sk
Python实现鸢尾花数据集分类问题——基于skearn的SVM 代码如下: # !/usr/bin/env python # encoding: utf-8 __author__ = 'Xiaolin Shen' from sklearn import svm import numpy as np from sklearn import model_selection import matplotlib.pyplot as plt import matplotlib as mpl from m
使用python语言 学习k近邻分类器的api 欢迎来到我的git查看源代码: https://github.com/linyi0604/MachineLearning from sklearn.datasets import load_iris from sklearn.cross_validation import train_test_split from sklearn.preprocessing import StandardScaler from sklearn.neighbors
import seaborn as snsimport pandas as pdimport matplotlib.pyplot as pltsns.set_style('white',{'font.sans-serif':['simhei','Arial']})from sklearn.datasets import load_iris data = load_iris() #加载鸢尾花数据集tt = pd.DataFrame(data=data.data, columns=data.feat
# View more python learning tutorial on my Youtube and Youku channel!!! # Youtube video tutorial: https://www.youtube.com/channel/UCdyjiB5H8Pu7aDTNVXTTpcg # Youku video tutorial: http://i.youku.com/pythontutorial """ Please note, this code
这是个人学习时跑的代码,结果就不贴了,有需要的可以自己运行,仅供参考,有不知道的可以私下交流,有问题也可以联系我.当然了我也只能提供一点建议,毕竟我也只是初学者 第一个页面 # -*- coding: utf-8 -*- #previous row is a way to use chinesefrom sklearn import datasetsfrom sklearn.cross_validation import train_test_splitfrom sklearn import p
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