Machine Learning and AI Foundations: Decision Trees with SPSS
Focused View
Keith McCormick
1:16:18
406 View
01 - Welcome.mp4
01:35
02 - What you should know.mp4
02:18
03 - Using the exercise files.mp4
01:04
01 - Decision tree options in SPSS Modeler.mp4
02:51
02 - Building a quick CHAID model.mp4
03:04
03 - Adding a second model with C&RT.mp4
01:58
04 - Analysis nodes.mp4
03:17
05 - Lift and gains chart.mp4
03:54
01 - What is an algorithm.mp4
02:14
02 - Chi-squared overview.mp4
02:45
03 - Buliding a tree interactively.mp4
02:51
04 - Bonferonni adjustment.mp4
04:46
05 - What is level of measurement.mp4
02:44
06 - How CHAID handles nominal variables.mp4
01:24
07 - How CHAID handles ordinal variables.mp4
01:17
08 - How CHAID handles continuous variables.mp4
02:09
09 - A quick look at the complete CHAID tree.mp4
05:35
01 - What is the Gini coefficient.mp4
02:25
02 - How does C&RT weigh purity and balance.mp4
02:18
03 - How C&RT handles nominal, ordinal, and continuous variables.mp4
02:31
04 - How C&RT handles missing data.mp4
02:56
05 - Understanding pruning.mp4
02:30
06 - A quick look at the complete C&RT tree.mp4
03:00
01 - Stopping rules in CHAID and C&RT.mp4
07:23
02 - Exhaustive CHAID.mp4
03:23
03 - The Auto Classifier tuning trick.mp4
02:41
01 - Next steps.mp4
01:25
Description
Many data science specialists are looking to pivot toward focusing on machine learning. This course covers the essentials of machine learning, including predictive analytics and working with decision trees. Explore several popular tree algorithms and learn how to use reverse engineering to identify specific variables. Demonstrations of using the IBM SPSS Modeler are included so you can understand how decisions trees work. This course is designed to give you a solid foundation on which to build more advanced data science skills.
More details
User Reviews
Rating
average 0
Focused display
Category
Keith McCormick
Instructor's CoursesI'm an independent consultant, trainer, speaker, and author of seven books. My consulting specializes in helping analytics leaders build and manage their data science teams. My training, including 20 LinkedIn Learning courses and frequent conference workshops, has reached 1000s of individuals trying to learn statistics, machine learning, and data science.
I love that I am able to train and consult. Training allows me to interact with (and learn from) 100s of clients in dozens of industries every year. It prevents me from obtaining too narrow a focus, and it keeps me current. Consulting allows me to work with a smaller number of clients in detail and in-depth, working with them on real problems of immediate concern to them. It keeps me sharp.
If you've encountered me through my LinkedIn Learning courses, please consider following me here on LinkedIn. I'm not able to connect with everyone, so I connect only with clients and colleagues that I know directly. But please do follow me here because I'm quite active on LinkedIn and frequently post excerpts from the courses and other content. Follow #freefirstfridays to see when I post a link to watch a course for free.
My favorite kind of consulting work involves:
- working with analytics management to create effective data science teams
- listening carefully to my client explain their business in detail
- turning their description into a research question that can be answered with their data
- coaching my client on presenting possible solutions to decision-makers
- working behind the scenes to get the solution deployed
Specialties:
For the last several years, my emphasis has been working with analytics management to more efficiently run their teams and to nurture new hires as they expand their teams. I am skilled at explaining complex methods to new users or decision-makers and can do so at any level of technical detail. I specialize in predictive models and segmentation analysis, including classification trees, neural nets, general linear model, cluster analysis, and association rules.
Books and Courses
The best way to find out more about me is to check out my courses on LinkedIn Learning. They have received over 500,000 views, and each one has some free content. My books can be found on Amazon, and typically that allows you to view some free content as well. I'm very proud of all of this content (listed below in my profile), but I am still primarily an active consultant. If you need consulting help, private training, or a keynote speaker, contact me, and we can discuss.

Linkedin Learning
View courses Linkedin LearningLinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications.
It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
- language english
- Training sessions 27
- duration 1:16:18
- English subtitles has
- Release Date 2023/04/11