Uplift Modeling Made Easy
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In this class, I will show you how to develop an uplift / incremental response model through hands-on training.
In this 2-hr training course, I will walk you through the modeling approach and show you how to develop and validate the model step-by-step. Together, we will solve a real-world modeling project using SAS software. I will provide extensive demo on SAS coding, running codes, and explaining outputs for each step. All SAS codes and modeling data will be made available to you as well.
The goal for this training is for you to be able to develop a professional-level uplift / incremental model independently.
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|Section 1: Introduction|
Course objectives, course outlines, and pre-requisitesPreview
What is uplift modeling, its basic concepts, and its applicationsPreview
|Section 2: Project|
Click the following link to download the modeling data set:
|Section 3: Data|
Modeling data, variables, and data snapshot
|Section 4: Methodology|
Uplift modeling methodology overview - Part 1
Uplift modeling methodology overview - Part 2
Uplift modeling methodology overview - Part 3Preview
|Section 5: Modeling|
Modeling process overview
Please save the sas codes 'Uplife Model Step 1.txt' as .sas file in order to run in sas software.
Please click the following link to download the sas macro:
Step 1 - prepare data - data QC demo - Part 2
Step 1 - prepare data - data QC demo - Part 3
Step 1 - prepare data - data transformation demo
Please save sas code as .sas in order for you to run in sas software
Step 2 - variable reduction demo - Part 2
Please save sas codes as .sas format so that you can run the code in sas software.
Step 3 - deep dive analysis demo - Part 2
Step 3 - deep dive analysis demo - Part 3
Please save the sas codes as .sas format. So that you can run them in sas software.
Step 4 - variable transformations demo - Part 2
Step 4 - variable transformations demo - Part 3
Step 4 - variable transformations demo - Part 4
Please save sas code as .sas format. So that you can run them in sas software.
Step 5 - develop and validate model demo - Part 2
Step 5 - develop and validate model demo - Part 3
Step 5 - develop and validate model demo - Part 4
Step 5 - develop and validate model demo - Part 5
|Section 6: Results Summary|
Modeling result presentation
|Section 7: Downloadable SAS Codes|
Please download and save as .sas in order to run in SAS software
15+ years of professional experience on predictive modeling in different industries. Specialized in logistic regression, linear regression, generalized regression, survival analysis, decision tree, discriminant analysis, cluster analysis, and other advanced analytic. In-depth knowledge and experiences in customer acquisition, retention, and credit risk management. Developed training classes and taught classes to graduate students and other working professionals.