ml chapter1机器学习的分类

1,监督学习:数据与标签的
2，非监督学习：只有数据没有标签
3，半监督学习：监督学习+半监督学习
4，强化学习：训练中总结经验
4,遗传算法：适者生存

import matplotlib.pyplot as plt
import pandas as pd
import requests
import io
import numpy as np
 
url = 'http://blog.topspeedsnail.com/wp-content/uploads/2016/12/铁路客运量.csv'
ass_data = requests.get(url).content
 
df = pd.read_csv(io.StringIO(ass_data.decode('utf-8')))  # python2使用StringIO.StringIO
 
data = np.array(df['铁路客运量_当期值(万人)'])
# normalize
normalized_data = (data - np.mean(data)) / np.std(data)
 
plt.figure()
plt.plot(data)
plt.show()