IBM SPSS Modeler: Modeler’s New R Nodes
IBM SPSS Modeler: Modeler’s New R Nodes, available at $19.99, has an average rating of 3.11, with 20 lectures, based on 9 reviews, and has 167 subscribers.
You will learn about Describe the new features and why they are useful Learn more R through self study Add new graphics capability in Modeler Add new statistics capability in Modeler This course is ideal for individuals who are Anyone that has experience with IBM SPSS Modeler or has completed an introductory level data mining course and would like to learn how to use Modeler and R together. It is particularly useful for Anyone that has experience with IBM SPSS Modeler or has completed an introductory level data mining course and would like to learn how to use Modeler and R together.
Enroll now: IBM SPSS Modeler: Modeler’s New R Nodes
Summary
Title: IBM SPSS Modeler: Modeler’s New R Nodes
Price: $19.99
Average Rating: 3.11
Number of Lectures: 20
Number of Published Lectures: 20
Number of Curriculum Items: 20
Number of Published Curriculum Objects: 20
Original Price: $39.99
Quality Status: approved
Status: Live
What You Will Learn
- Describe the new features and why they are useful
- Learn more R through self study
- Add new graphics capability in Modeler
- Add new statistics capability in Modeler
Who Should Attend
- Anyone that has experience with IBM SPSS Modeler or has completed an introductory level data mining course and would like to learn how to use Modeler and R together.
Target Audiences
- Anyone that has experience with IBM SPSS Modeler or has completed an introductory level data mining course and would like to learn how to use Modeler and R together.
IBM SPSS Modeler is a data mining workbench that allows you to build predictive models quickly and intuitively without programming. Analysts typically use SPSS Modeler to analyze data by mining historical data and then deploying models to generate predictions for recent (or even real-time) data.
Overview: Modeler's New R Nodes is a series of self-paced videos. This course is divided into four parts:
·What are the new Modeler R Nodes and why are they an exciting addition?
·What is R and what are some of the best ways to learn more about it?
·Adding new graphics capability with R
·Adding new statistics capability with R
We discuss one of the exiting new features of Modeler 16. We show some R functionality in the R environment itself, but the seminar will culminate in the demonstration of R capabilites in a Modeler stream. Advice will be given on how best to develop more skills in this area, but you will have some working knowledge from these videos alone.
Course Curriculum
Chapter 1: Modeler's New R Nodes Seminar
Lecture 1: The Organization of the Seminar
Lecture 2: Overview of the R Integration Package
Lecture 3: Application Example- A Weather ‘Source Node’
Lecture 4: Writing the R Code to do GeoCoding in Modeler
Lecture 5: Building your own Custom R Node
Lecture 6: Building your own Modeling Node- Random Forests
Lecture 7: The R model building syntax
Lecture 8: The R scoring syntax
Lecture 9: Reviewing the Model Results
Lecture 10: Building a Dialog for Random Forests
Lecture 11: Does Modeler treat an R Model like any other Model
Lecture 12: String Distance Demonstration
Lecture 13: Iterative Neural Net Forecasts Demontration
Lecture 14: Questions about Writing the Neural Net Forecast Node
Lecture 15: Getting Started with R and Modeler
Lecture 16: Getting familiar with R using R Studio
Lecture 17: Basic Grammar and Commands in R
Lecture 18: Matrices, Data Frames, and Models
Lecture 19: Summary Statistics and GGPlot2
Lecture 20: Cbind() and Apply()
Instructors
-
Sandy Midili
Business Analytics Training Manager
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 2 votes
- 3 stars: 4 votes
- 4 stars: 1 votes
- 5 stars: 1 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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