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摘要:参考: 1、《Python机器学习:预测分析核心算法》 P258-P266 1 import numpy 2 3 #from sklearn.cross_validation import train_test_split 4 from sklearn.model_selection import 阅读全文
posted @ 2020-03-08 17:06 Jayson_Guan 阅读(411) 评论(0) 推荐(0)
摘要:参考: 1、《Python机器学习:预测分析核心算法》 Michael Bowles P251-P258 2、简书 Junes_K 3、sklearn官方文档 1 import numpy 2 3 #以前使用train_test_split构建训练和测试集, 但目前train_test_split已 阅读全文
posted @ 2020-03-07 23:27 Jayson_Guan 阅读(468) 评论(0) 推荐(0)
摘要:1 import numpy 2 from sklearn import datasets, linear_model 3 from sklearn.linear_model import LassoCV 4 from math import sqrt 5 import matplotlib.pyp 阅读全文
posted @ 2020-03-03 16:03 Jayson_Guan 阅读(396) 评论(0) 推荐(0)
摘要:直接上我的思维导图吧: 学习的代码及备注 1 __author__ = 'mike-bowles' 2 #use scikit learn package to perform linear regression 3 #read in the rocks versus mines data set 阅读全文
posted @ 2020-02-29 00:00 Jayson_Guan 阅读(333) 评论(0) 推荐(0)