机器学习示例

1.获取数据

本地抓包，并生成数据。

tcpdump -i ens160 -w test.pcap

2.提取数据

3.验证数据

from sklearn import tree

feature = [[178, 1, 1], [155, 0, 0], [177, 0, 0], [165, 0, 0], [169, 1, 1], [160, 0, 0]]
label = ['male', 'female', 'male', 'female', 'male', 'female']

clf = tree.DecisionTreeClassifier()
clf = clf.fit(feature, label)

result = clf.predict([[158, 0, 0]])
print(result)
result = clf.predict([[172, 1, 0]])
print(result)

import pandas as pd

iris_data = pd.read_csv('iris-data.csv')
print(iris_data.head())
iris_data = pd.read_csv('iris-data.csv', na_values=['NA'])
print(iris_data.describe())

github地址：

https://github.com/rhiever/Data-Analysis-and-Machine-Learning-Projects

https://github.com/bighunter513/machine-learning-python