One-Hot Encoding

import pandas as pd
from sklearn.preprocessing import OneHotEncoder
from sklearn.preprocessing import LabelBinarizer
from sklearn.feature_extraction import DictVectorizer
data = pd.DataFrame({'name':['Tom','Andy','David'],'age':[20,21,22],'height':[175,165,180]})
print(data)

LabelBinarizer()

get_dummies()
DictVectorizer()
feature_extraction模块中提供了DictVectorizer类，即把字典向量化，采用0/1二值向量化.

使用NLTK或者jieba分词

• 略
  

参考资料

• 特征提取：http://sklearn.apachecn.org/cn/0.19.0/modules/feature_extraction.html

• https://blog.csdn.net/u012328159/article/details/71617381

• https://ask.hellobi.com/blog/DataMiner/4897