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IBM SPSS Modeler は、正確な予測モデルを素早く構築し、個人、グループ、システム、企業に予測インテリジェンスをもたらす国内シェアNo.1のデータ・ ...
YouTube-IBMJapanChannel
Webinar recording - introduction to IBM SPSS Modeler. 34K views · 7 years ago ...more. Smart Vision Europe. 2.6K.
YouTube-Smart Vision Europe
Welcome
Scenario Planning
Collaboration and Deployment
Building predictive models
Example of a three-way relationship
Exporting scores to a database
Using historical data to build a predictive model
Deep subgroup analysis
Interpreting the model
Conclusion
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YouTube-SPSS Analytics Partner
An overview of analysis functions in SPSS Modeler.
YouTube-NPUST Archives
IBM SPSS Modeler: Data Processing (Data Manipulation). 2.8K views · 3 years ago ...more. NPUST Archives. 172. Subscribe.
Data Processing Overview
Type Node
Read Values
Data Audit (descriptive statistics)
Data Quality Tab
Expression Builder
Selecting from existing values
Derive Node
SQL Pushback
To improve your experience using IBM SPSS Statistics, the Version 1 SPSS experts have created various Tech Tips. This Tech Tip shows how to ...
A short demonstration of IBM SPSS Modeler using a simple "churn" data set.
YouTube-Software Tutorials by Dursun Delen
Favorites Tab
Field Operations
Auto Classifier
Changing Column Labels
Building a Model
K Nearest Neighbor Algorithm
Downloading the Dataset
Exporting the Model
Connecting Data
Evaluating the model
This video is the first in a series offering insight into some under-used or little-used cool functions in SPSS Modeler software.
Intro
Treating outliers and extremes separately
Selecting subsets of data
Rebalance Data
Rename Duplicates
Clustered Boxplots
Controlling correlations
Fixed parameters
Split role
Annotations
First Look At SPSS Modeler v18.2. 1.6K views · 5 years ago ...more. Smart Vision Europe. 2.6K. Subscribe.
Visualizing Data
Spreadsheet View
Linear Regression
Exploring Modal Groups
Heat Map Charts
Adding items
Additional Features
Modern Text Analytics
Database Modeling
IBM SPSS Modelerは、機械学習のアルゴリスムであるニューラル・ネットワーク、サポートベクターマシンも利用可能。自動モデル作成はもちろんの ...
Join us as we welcome a member of the IBM Advanced Analytics team who specializes in SPSS. What does the future hold and how can SPSS help ...
YouTube-Lodestar Solutions
Ibm Spss Predictive Analytics
Data Collection
Spss Statistics
Spss Decision Management
Collaboration Deployments
Interface to Modeler
Modeling Nodes
Churn Model
Analysis Node
Why Ibm Spss Why Choose It
This demo video shows you how to access a variety of data sources and merge them.
This playlist/video has been uploaded for Marketing purposes and contains only selective videos. For the entire video course and code, ...
YouTube-Packt
Reading Data into Modeler
Data file formats that Modeler can read
Linking a Node to a Dataset
Specifying delimiters
Using context help
The Filter Tab
Filtering fields
Viewing the Data
Re-opening a table
SPSS Modeler Flowで簡単に機械学習モデルの作成ができることを体験いただけるハンズオンの動画となります。 本ハンズオンでは、クレジットカードの利用履歴と、顧客の ...
IBM Video Streaming
This tutorial is made by Center for Marketing Engineering, The Chinese University of Hong Kong. Objectives of Tutorial 1: 1.
YouTube-Marketing Engineering Center CUHK
Tutorial Outline
SPSS Modeler Introduction
Objective
Basic Operational Skills
Simple Practice
Data Tab
Data Types
Output Data into Table
Export Data
The simulation node – makes 'what-if' analysis easy.
Simulation Generation Node
Previewing simulated data
Specifying a distribution
Advanced options
Output Simulation
Anonymising data
Simulating data
Simulating data for what-if analysis
Scoring simulated data
Simulation evaluation
To improve your experience using IBM SPSS Modeler, the Version 1 SPSS experts have created various Tech Tips. This Tech Tip shows how to ...
Classification Modeling Nodes
Classification Algorithms
Discriminant Analysis and Logistic Regression
Cox Regression
K-Means
Anomaly Detection
Auto Node for Numeric
Time Series
Random Trees
Distinguishing Data
Selecting Breakfast and Lunch
IFM Analysis
RFM Analysis
RFM Score Preview
Finding Top 10 Customers with Highest RFM Score
Sorting Data
Export Final Output
This tutorial is made by Center for Marketing Engineering, The Chinese University of Hong Kong. Objectives of Tutorial 2: 1.