Link to Content:

Statistics.com

Created/Published/Taught by:

The Institute for Statistics Education

Mr. Anthony Babinec

Dr. Galit Shmueli

Content Found Via:

Statistics.com

Free? No

Cost Range:

$349.00 - $549.00

Tags: asymmetric costs / backpropagation / choosing predictor variables / classification / descriptive modeling / discriminant analysis / hidden layer / inference / input layer / interpreting output / iterative learning / linear classification functions / linear regression / Mahalanobis distance / model fitting / neural nets / neural networks / odds and logit / output layer / predictive analytics / predictive modeling

Difficulty Rating:

From Statistics.Com:

“In this online course, “Predictive Analytics 2 – Neural Nets and Regression,” you will continue work from Predictive Analytics 1, and be introduced to additional techniques in predictive analytics, also called predictive modeling, the most prevalent form of data mining. Predictive modeling takes data where a variable of interest (a target variable) is known and develops a model that relates this variable to a series of predictor variables, also called features. Four modeling techniques will be used: linear regression, logistic regression, discriminant analysis and neural networks. The course includes hands-on work with XLMiner, a data-mining add-in for Excel.”

Recommended Prerequisites: Statistics.com Predictive Analytics I course

Go to Content: Predictive Analytics 2 – Neural Nets and Regression

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