Description

This training program presents advanced models available in IBM SPSS Modeler. The professionals are first introduced to a technique named PCA/Factor, to reduce the number of fields to a number of core factors, referred to as components or factors. The following topics emphasize the supervised models, including Support Vector Machines, Random Trees, and XGBoost. Methods are reviewed on the ways to analyze text data, combine individual models into a single model, and the ways to enhance the power of IBM SPSS Modeler by adding external models which are developed in R or Python, to the Modeling palette.

 

Radiant Techlearning offers the Advanced Machine Learning Models Using IBM SPSS Modeler (V18.2) training program in Classroom & Virtual Instructor Led / Online mode.

 

 

Duration: 1 day

 

 

Learning objectives

 

Introduction to advanced machine learning models 

  • Taxonomy of models 
  • Overview of supervised models 
  • Overview of models to create natural groupings 

 

Group fields: Factor Analysis and Principal Component Analysis 

  • Factor Analysis basics 
  • Principal Components basics 
  • Assumptions of Factor Analysis 
  • Key issues in Factor Analysis 
  • Improve the interpretability 
  • Factor and component scores 

 

Predict targets with Nearest Neighbor Analysis 

  • Nearest Neighbor Analysis basics 
  • Key issues in Nearest Neighbor Analysis 
  • Assess model fit 

 

Explore advanced supervised models 

  • Support Vector Machines basics 
  • Random Trees basics 
  • XGBoost basics

 

Introduction to Generalized Linear Models 

  • Generalized Linear Models 
  • Available distributions 
  • Available link functions 

 

Combine supervised models 

  • Combine models with the Ensemble node 
  • Identify ensemble methods for categorical targets 
  • Identify ensemble methods for flag targets 
  • Identify ensemble methods for continuous targets 
  • Meta-level modeling 

 

Use external machine learning models 

  • IBM SPSS Modeler Extension nodes 
  • While working with IBM SPSS Modeler , use the external machine learning programs 

 

Analyze text data 

  • Text Mining and Data Science 
  • Text Mining applications 
  • Modeling with text data

Pre-requisites

  • Knowledge of your business requirements
  • It is required to attend the ‘IBM SPSS Modeler Foundations’ (V18.2) training program or gather equivalent knowledge and understanding about the ways to prepare, import and explore data, with the help of IBM SPSS Modeler v18.2, and to know the basics of modeling.
  • Introduction to Machine Learning Models Using IBM SPSS Modeler (V18.2) course (0A079G/0E079G), or gathering equivalent knowledge or experience with the product about supervised machine learning models (CHAID, C&R Tree, Regression, Random Trees, Neural Net, XGBoost), unsupervised machine learning models (TwoStep Cluster), and association machine learning models such as APriori, can be helpful but not mandatory.

 

Audience for the course

  • Data scientists
  • Business analysts
  • Experienced users of IBM SPSS Modeler who want to learn about advanced techniques in the software

Course content

Introduction to advanced machine learning models

  • Taxonomy of models
  • Overview of supervised models
  • Overview of models to create natural groupings

 

Group fields:  Factor Analysis and Principal Component Analysis

  • Factor Analysis basics
  • Principal Components basics
  • Assumptions of Factor Analysis
  • Key issues in Factor Analysis
  • Improve the interpretability
  • Factor and component scores

 

Predict targets with Nearest Neighbor Analysis

  • Nearest Neighbor Analysis basics
  • Key issues in Nearest Neighbor Analysis
  • Assess model fit

FAQs

Q: What does SPSS Modeler do?

 

A: SPSS Modeler is a leading visual data science as well as machine learning solution. Foremost organizations worldwide depend on IBM for data preparation as well as discovery; predictive analytics, model management as well as deployment, as well as machine learning for monetize data assets

 

Q: Is IBM SPSS Modeler free?

 

A: SPSS Modeler available for free for educational usage

 

Q: What is the difference between SPSS Statistics and Modeler?

 

A: SPSS Modeler delivers data mining as well as text analysis software, while SPSS Statistics is an integrated family of products. Both tools allow users to build predictive models as well as implement other analytics tasks. Modeler can apply different processes as well as algorithms to help the user discover information hidden in the data.

 

Q: Why do we need SPSS?

 

A: SPSS (Statistical package for the social sciences) is the set of software programs that are merged together in a single package. The basic application of this program is to analyze scientific data associated with the social science. This data can be utilized for market research, surveys, data mining, etc.

 

Q: What is a XGBoost model?

 

A: XGBoost is an algorithm that has newly been dominating applied machine learning as well as Kaggle competitions for structured or tabular data. XGBoost is an implementation of gradient boosted decision trees created for speed as well as performance

 

Q: Is SPSS better than excel?

 

A: Though Microsoft Excel as well as SPSS has a similar look as well as feel, with menus, spreadsheets also built-in statistical functions, SPSS is a clear winner when it comes to data analysis, as this software is especially created for statistics

 

Q: Where is Radiant Techlearning Located?

 

A: Radiant Techlearning is headquartered in Electronic city & technology hub of Nothern India, Noida, which is surrounded by several large multinational, medium & small Software companies. 

We have our offices located all across the country and partners across the globe.  

 

Q: What is the benefit of doing training from Radiant Techlearning?

 

A: Radiant Techlearning is receptive to new ideas and always believes in a creative approach that makes learning easy and effective. We stand strong with highly qualified & certified technology Consultants, trainers and developers who believe in amalgamation of practical and creative training to groom the technical skills.

Our training programs are practical oriented with 70% – 80% hands on the training technology tool.  Our training program focuses on one-on-one interaction with each participant, latest content in curriculum, real time projects and case studies during the training program. 

Our experts will also share best practices & will give you guidance to score high & perform better in your certification exams. 

To ensure your success, we provide support session even after the training program. 

You would also be awarded with a course completion certificate recognized by the industry after completion of the course & the assignment.

 

Q: How do you ensure the quality of training program?

 

A: Radiant has highly intensive selection criteria for Technology Trainers & Consultants, who deliver you training programs. Our trainers & consultants undergo rigorous technical and behavioral interview and assessment process before they are on boarded in the company. 

Our Technology experts / trainers & consultant carry deep dive knowledge in the technical subject & are certified from the OEM.

Our training programs are practical oriented with 70% – 80% hands on the training technology tool.  Our training program focuses on one-on-one interaction with each participant, latest content in curriculum, real time projects and case studies during the training program. 

Our faculty will provide you the knowledge of each course from fundamental level in an easy way and you are free to ask your doubts any time from your respective faculty.

Our trainers have patience and ability to explain difficult concepts in simplistic way with depth and width of knowledge.

To ensure quality learning, we provide support session even after the training program. 

 

Q: What if I/we have doubts after attending your training program?

 

A: Radiant team of experts would be available on the email Support@radianttechlearning.com to answer your technical queries, even after the training program.

We also conduct a 3 – 4 hours online session after 2 weeks of the training program, to respond on your queries & project assigned to you.  

 

Q: If I face technical difficulty during the class what should I do?

 

A: Technical issues are unpredictable and might occur with you as well. Participants have to ensure that they have the system with required configuration with good internet speed to access online labs.  

 

Category:

Unble To Find a Batch..?

Request a Batch