12 2018 档案
摘要:1. 导入boston房价数据集 2. 一元线性回归模型,建立一个变量与房价之间的预测模型,并图形化显示。 plt.figure(figsize=(10,6)) plt.scatter(x, y) w = LinR.coef_ b = LinR.intercept_ print(w, b) plt.
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摘要:import os import jieba path=r'F:\duym\123' fs=os.listdir(path) for f in fs: fp=os.path.join(path,f) word=open (fp,'r',encoding='utf-8').read() for w in jieba.cut(word): print(w) # ji...
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摘要:import csv # 读数据 file_path = r'D:\SMSSpamCollectionjsn.txt' smsData = open(file_path,'r',encoding='utf-8') E_data = [] E_target = [] csv_reader = csv.reader(smsData,delimiter='\t') # 将数据分别存入数据列表和目标分类...
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