Dr. Anthony Babinec will present his online data mining course March 10 –
April 7 at statistics.com.
This course will focus on five predictive analytics techniques: k-nearest
neighbors, classification and regression trees (CART), neural nets,
logistic regression and multiple linear regression.
It will also cover the use of partitioning to divide the data into training
data (data used to build a model), validation data (data used to assess the
performance of different models, or, in some cases, to fine tune the model)
and test data (data used to predict the performance of the final model).
Dr. Babinec is the president of AB Analytics and served previously as
Director of Advanced Products Marketing at SPSS; he worked on the marketing
of Clementine and introduced CHAID, neural nets and other advanced
technologies to SPSS.
As with all online courses at statistics.com, there are no set hours when
you must be online, and you can interact with the instructor over a period
of 4 weeks via a private discussion board. We estimate you will need about
5-15 hours per week.
Registration and details:
[log in to unmask]