39, State-gov, 77516, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K
50, Self-emp-not-inc, 83311, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 13, United-States, <=50K
38, Private, 215646, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
53, Private, 234721, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K
28, Private, 338409, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, Cuba, <=50K
37, Private, 284582, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
49, Private, 160187, 9th, 5, Married-spouse-absent, Other-service, Not-in-family, Black, Female, 0, 0, 16, Jamaica, <=50K
52, Self-emp-not-inc, 209642, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
31, Private, 45781, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 14084, 0, 50, United-States, >50K
42, Private, 159449, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 40, United-States, >50K
37, Private, 280464, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 80, United-States, >50K
30, State-gov, 141297, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K
23, Private, 122272, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K
32, Private, 205019, Assoc-acdm, 12, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K
40, Private, 121772, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, >50K
34, Private, 245487, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 45, Mexico, <=50K
25, Self-emp-not-inc, 176756, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 35, United-States, <=50K
32, Private, 186824, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
38, Private, 28887, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
43, Self-emp-not-inc, 292175, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, >50K
40, Private, 193524, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
54, Private, 302146, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K
35, Federal-gov, 76845, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 40, United-States, <=50K
43, Private, 117037, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2042, 40, United-States, <=50K
59, Private, 109015, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
56, Local-gov, 216851, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
19, Private, 168294, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
54, ?, 180211, Some-college, 10, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 0, 60, South, >50K
39, Private, 367260, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K
49, Private, 193366, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
23, Local-gov, 190709, Assoc-acdm, 12, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K
20, Private, 266015, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 44, United-States, <=50K
45, Private, 386940, Bachelors, 13, Divorced, Exec-managerial, Own-child, White, Male, 0, 1408, 40, United-States, <=50K
30, Federal-gov, 59951, Some-college, 10, Married-civ-spouse, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
22, State-gov, 311512, Some-college, 10, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 15, United-States, <=50K
48, Private, 242406, 11th, 7, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, Puerto-Rico, <=50K
21, Private, 197200, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
19, Private, 544091, HS-grad, 9, Married-AF-spouse, Adm-clerical, Wife, White, Female, 0, 0, 25, United-States, <=50K
31, Private, 84154, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 38, ?, >50K
48, Self-emp-not-inc, 265477, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
31, Private, 507875, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 43, United-States, <=50K
53, Self-emp-not-inc, 88506, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
24, Private, 172987, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K
49, Private, 94638, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
25, Private, 289980, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
57, Federal-gov, 337895, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K
53, Private, 144361, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 38, United-States, <=50K
44, Private, 128354, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
41, State-gov, 101603, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
29, Private, 271466, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K
25, Private, 32275, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, Other, Female, 0, 0, 40, United-States, <=50K
18, Private, 226956, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, ?, <=50K
47, Private, 51835, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1902, 60, Honduras, >50K
50, Federal-gov, 251585, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K
47, Self-emp-inc, 109832, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
43, Private, 237993, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
46, Private, 216666, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
35, Private, 56352, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K
41, Private, 147372, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 48, United-States, <=50K
30, Private, 188146, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5013, 0, 40, United-States, <=50K
30, Private, 59496, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 2407, 0, 40, United-States, <=50K
32, ?, 293936, 7th-8th, 4, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 40, ?, <=50K
48, Private, 149640, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
42, Private, 116632, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
29, Private, 105598, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 58,
没有合适的资源?快使用搜索试试~ 我知道了~
资源推荐
资源详情
资源评论
收起资源包目录
实验.zip (83个子文件)
实验
第三章机器学习框架.ipynb 34KB
bikes.csv 13KB
第5章 逻辑回归测试 - 学生版.ipynb 136KB
dating-data.txt 26KB
flower.jpg 222KB
决策树算法.ipynb 27KB
机器学习框架的贝叶斯模型.ipynb 11KB
adult.data.txt 3.82MB
第五章 逻辑回归.ipynb 139KB
机器学习框架练习.ipynb 33KB
第四章 GrideSearchCV.ipynb 5KB
自行车数据分析.ipynb 205KB
实验五:回归算法.ipynb 182KB
carsales_data.xls 49KB
K近邻算法.ipynb 3KB
第六章 聚类分析 KMeans聚类 肘点法 层次聚类.ipynb 125KB
第五章 线性回归.ipynb 100KB
heart-data.csv 17KB
实验四 分类算法.ipynb 96KB
第六章 聚类分析- K-Means聚类.ipynb 19KB
分类算法朴素贝叶斯练习.ipynb 12KB
实验六:聚类算法.ipynb 248KB
第2章 pandas基础应用.ipynb 70KB
lables_dict.npy 534B
第八章 推荐算法 -协同过滤.ipynb 28KB
分类算法KNN练习.ipynb 12KB
第八章 推荐算法-关联规则.ipynb 11KB
密度聚类 三种聚类方法练习 轮廓系数.ipynb 565KB
第七章 集成学习.ipynb 10KB
data_logRec.txt 4KB
titanic.csv 59KB
gnb.pkl 1KB
K近邻算法练习.ipynb 5KB
实验七:集成学习.ipynb 22KB
km_data.csv 4KB
lr_test.csv 2.37MB
分类算法数据分析检测-心脏病数据分析.ipynb 66KB
pandas基础.ipynb 141KB
第三章 拟合问题处理-学习曲线和验证曲线.ipynb 85KB
knn.pkl 13KB
.ipynb_checkpoints
机器学习框架的贝叶斯模型-checkpoint.ipynb 11KB
第八章 推荐算法-关联规则-checkpoint.ipynb 11KB
实验六:聚类算法-checkpoint.ipynb 248KB
机器学习框架练习-checkpoint.ipynb 33KB
第5章 逻辑回归测试 - 学生版-checkpoint.ipynb 136KB
第五章 线性回归-checkpoint.ipynb 100KB
第五章 Ridge-Lasso回归-checkpoint.ipynb 184KB
绩效考核分析-Spark SQL-checkpoint.ipynb 44KB
密度聚类 三种聚类方法练习 轮廓系数-checkpoint.ipynb 565KB
实验四 分类算法-checkpoint.ipynb 95KB
中文词频统计-checkpoint.ipynb 238KB
第三章 拟合问题处理-学习曲线和验证曲线-checkpoint.ipynb 85KB
第七章 集成学习-checkpoint.ipynb 10KB
分类算法朴素贝叶斯练习-checkpoint.ipynb 12KB
sql-绩效分析-checkpoint.ipynb 36KB
绩效1-checkpoint.ipynb 31KB
2021030542011-田阳蔓-泰坦尼克号数据分析-checkpoint.ipynb 37KB
K近邻算法练习-checkpoint.ipynb 5KB
K近邻算法-checkpoint.ipynb 3KB
第七章-checkpoint.ipynb 61KB
分类算法数据分析检测-心脏病数据分析-checkpoint.ipynb 66KB
工业蒸汽量预测 - 学生版-checkpoint.ipynb 944KB
DAtaFrame-绩效分析-checkpoint.ipynb 29KB
第5章 线性回归-研发方向-checkpoint.ipynb 151KB
L分类算法-checkpoint.ipynb 67KB
第三章机器学习框架-checkpoint.ipynb 34KB
第六章 聚类分析- K-Means聚类-checkpoint.ipynb 19KB
第五章 逻辑回归-checkpoint.ipynb 139KB
第五章 Ridge回归和Lasso回归-checkpoint.ipynb 72B
pandas基础-checkpoint.ipynb 141KB
分类算法KNN练习-checkpoint.ipynb 12KB
实验五:回归算法-checkpoint.ipynb 182KB
实验七、集成学习-checkpoint.ipynb 22KB
第2章 pandas基础应用-checkpoint.ipynb 70KB
第八章 推荐算法 -协同过滤-checkpoint.ipynb 28KB
决策树算法-checkpoint.ipynb 27KB
第六章 聚类分析 KMeans聚类 肘点法 层次聚类-checkpoint.ipynb 125KB
第四章 GrideSearchCV-checkpoint.ipynb 5KB
自行车数据分析-checkpoint.ipynb 142KB
实验四 分类算法11-checkpoint.ipynb 69KB
机器学习框架练习1-checkpoint.ipynb 33KB
Untitled4-checkpoint.ipynb 98KB
第五章 Ridge-Lasso回归.ipynb 184KB
共 83 条
- 1
资源评论
呆呆小板栗
- 粉丝: 443
- 资源: 88
上传资源 快速赚钱
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
最新资源
- 5uonly.apk
- 2023-04-06-项目笔记 - 第一百十九阶段 - 4.4.2.117全局变量的作用域-117 -2024.04.30
- 2023-04-06-项目笔记 - 第一百十九阶段 - 4.4.2.117全局变量的作用域-117 -2024.04.30
- 前端开发技术实验报告:内含4四实验&实验报告
- Highlight Plus v20.0.1
- 林周瑜-论文.docx
- 基于MIC+NE555光敏电阻的声光控电路Multisim仿真原理图
- 基于JSP毕业设计-基于WEB操作系统课程教学网站的设计与实现(源代码+论文).zip
- 基于LM324和LM386的音响放大器Multisim仿真+PCB电路原理图
- Python机器学习与数据挖掘环境配置与库验证
资源上传下载、课程学习等过程中有任何疑问或建议,欢迎提出宝贵意见哦~我们会及时处理!
点击此处反馈
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功