楼主: xz50
1607 4

[数据挖掘书籍] Building Better Models with JMP -Jim Grayson pdf textbook [推广有奖]

  • 0关注
  • 1粉丝

大专生

16%

还不是VIP/贵宾

-

威望
0
论坛币
41462 个
通用积分
3.9071
学术水平
1 点
热心指数
1 点
信用等级
0 点
经验
1756 点
帖子
20
精华
0
在线时间
51 小时
注册时间
2017-10-4
最后登录
2021-12-6

相似文件 换一批

+2 论坛币
k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群
赵安豆老师微信:zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

感谢您参与论坛问题回答

经管之家送您两个论坛币!

+2 论坛币
Pdf版 Building Better Models with JMP -Jim Grayson 手把手教你如何使用JMP Pro做数据分析
Building Better Models with JMP
®
Pro
Jim Grayson • Sam Gardner • Mia L. Stephens


Contents
Acknowledgments
About This Book
About These Authors
Part 1 Introduction
Chapter 1 Introduction
Overview
Analytics Is Hot!
What You Will Learn
Analytics and Data Mining
How the Book Is Organized
Let’s Get Started
References
Chapter 2 An Overview of the Business Analytics Process
Introduction
Commonly Used Process Models
The Business Analytics Process
Define the Problem
Prepare for Modeling
Modeling
Deploy Model
Monitor Performance
Conclusion
References
Part 2 Preparing for Modeling
Chapter 3 Working with Data
Introduction
JMP Basics
Opening JMP and Getting Started
JMP Data Tables
Examining and Understanding Your Data
Preparing Data for Modeling
Summary and Getting Help in JMP
Exercises
References
Part 3 Model Building
Chapter 4 Multiple Linear Regression
In the News
Representative Business Problems
Preview of End Result
Looking Inside the Black Box: How the Algorithm Works
Example 1: Housing Prices
Applying the Business Analytics Process
Summary
Example 2: Bank Revenues
Applying the Business Analytics Process
Summary
Exercises
References
Chapter 5 Logistic Regression
In the News
Representative Business Problems
Preview of the End Result
Looking Inside the Black Box: How the Algorithm Works
Example 1: Lost Sales Opportunities
Applying the Business Analytics Process
Example 2: Titanic Passengers
Applying the Business Analytics Process
Summary
Key Take-Aways and Additional Considerations
Exercises
References
Chapter 6 Decision Trees
In the News
Representative Business Problems
Preview of the End Result
Looking Inside the Black Box: How the Algorithm Works
Classification Tree for Status
Statistical Details Behind Classification Trees
Other General Modeling Considerations
Exploratory Modeling versus Predictive Modeling
Model Cross-Validation
Dealing with Missing Values
Decision Tree Modeling with Ordinal Predictors
Example 1: Credit Card Marketing
The Study
Applying the Business Analytics Process
Case Summary
Example 2: Printing Press Yield
The Study
Applying the Business Analytics Process
Case Summary
Summary
Exercises
References
Chapter 7 Neural Networks
In the News
Representative Business Problems
Measuring Success
Preview of the End Result
Looking Inside the Black Box: How the Algorithm Works
Neural Networks with Categorical Responses
Example 1: Churn
Applying the Business Analytics Process
Modeling
The Neural Model and Results
Case Summary
Example 2: Credit Risk
Applying the Business Analytics Process
Case Summary
Summary and Key Take-Aways
Exercises
References
Part 4 Model Selection and Advanced Methods
Chapter 8 Using Cross-Validation
Overview
Why Cross-Validation?
Partitioning Data for Cross-Validation
Using a Random Validation Portion
Specifying the Validation Roles for Each Row
K-fold Cross-Validation
Using Cross-Validation for Model Fitting in JMP Pro
Example
Creating Training, Validation, and Test Subsets
Examining the Validation Subsets
Using Cross-Validation to Build a Linear Regression Model
Choosing the Regression Model Terms with Stepwise Regression
Making Predictions
Using Cross-Validation to Build a Decision Tree Model
Fitting a Neural Network Model Using Cross-Validation
Model Comparison
Key Take-Aways
Exercises
References
Chapter 9 Advanced Methods
Overview
Concepts in Advanced Modeling
Bagging
Boosting
Regularization
Advanced Partition Methods
Bootstrap Forest
Boosted Tree
Boosted Neural Network Models
Generalized Regression Models
Maximum Likelihood Regression
Ridge Regression
Lasso Regression
Elastic Net
Key Take-Aways
Exercises
References
Chapter 10 Capstone and New Case Studies
Introduction
Case Study 1: Cell Classification
Stage 1: Define the Problem
Stage 2: Prepare for Modeling
Stage 3: Modeling
Case Study 2: Blue Book for Bulldozers (Kaggle Contest)
Getting to Know the Data
Data Preparation
Modeling
Model Comparison
Next Steps
Case Study 3: Default Credit Card, Presenting Results to Management
Developing a Management Report
Case Study 4: Carvana (Kaggle Contest)
Exercises
References
Appendix
Index


二维码

扫码加我 拉你入群

请注明:姓名-公司-职位

以便审核进群资格,未注明则拒绝

关键词:textbook Building better models model JMP 数据分析 Data Mining

JMP.JPG (58.34 KB)

JMP.JPG

Building Better Models with JMP -Jim Grayson.pdf

13.04 MB

需要: 9 个论坛币  [购买]

textbook

已有 1 人评分学术水平 热心指数 收起 理由
飞天玄舞6 + 1 + 1 精彩帖子

总评分: 学术水平 + 1  热心指数 + 1   查看全部评分

本帖被以下文库推荐

沙发
bearfighting 发表于 2018-2-21 04:11:50 |只看作者 |坛友微信交流群
很强大啊

使用道具

藤椅
军旗飞扬 发表于 2018-2-21 06:36:42 |只看作者 |坛友微信交流群

使用道具

板凳
灰原哀-穷 发表于 2018-2-21 08:08:27 来自手机 |只看作者 |坛友微信交流群
xz50 发表于 2018-2-21 00:11
Pdf版 Building Better Models with JMP -Jim Grayson 手把手教你如何使用JMP Pro做数据分析!
Building B ...
楼主好人,谢谢分享

使用道具

报纸
GKINGLIU 在职认证  发表于 2018-2-21 14:34:39 |只看作者 |坛友微信交流群

使用道具

您需要登录后才可以回帖 登录 | 我要注册

本版微信群
加好友,备注cda
拉您进交流群

京ICP备16021002-2号 京B2-20170662号 京公网安备 11010802022788号 论坛法律顾问:王进律师 知识产权保护声明   免责及隐私声明

GMT+8, 2024-5-2 01:37