Checklist
Certification
You will get a certificate on completing this course.
University
This course is not affiliated with any university.
Price
This course is costly - Rs. 3499/-.
Difficulty
56% of the students have found this course easy.
Content
74% of the students have liked the content of this course.
Teaching
86% of the students have liked how the instructor has taught this course.
Satisfaction
86% of the students are overall satisfied with this course.
Edvicer's Rewards
You can get a cashback of ₹ 175 on buying this course.
Logistic Regression using SAS - Indepth Predictive Modeling
Logistic Regression using SAS - Indepth Predictive Modeling
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Limited Time Discount Offers
Save your money with Edvicer. Check out our premium courses with discount offers.
Map your Career
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Map your Career
Not sure which job profiles this course will open for you? Check out our AI based tool to get a complete personalized career map.
Checklist
Certification
You will get a certificate on completing this course.
University
This course is not affiliated with any university.
Price
This course is costly - Rs. 3499/-.
Difficulty
56% of the students have found this course easy.
Content
74% of the students have liked the content of this course.
Teaching
86% of the students have liked how the instructor has taught this course.
Satisfaction
86% of the students are overall satisfied with this course.
Edvicer's Rewards
You can get a cashback of ₹ 175 on buying this course.
Why should you choose this course?
Description
Analytics /Machine Learning / Data Science: Statistical / Econometrics foundation, SAS Program details, Modeling demo
Syllabus
1. Course Outline
2. Introduction to Credit Scoring / Credit Score card development
3. Data Design for Modelling
4. Data Audit - Make sure to check that data is right for the modelling
5. Variable Selection - Select important numeric and character variables
6. Multi Collinearity Treatment
7. Iterate for final model / Understand strength of the model
8. Strength of a Model and Model Validation Methods
9. Reject Inference - Developing application score on scored population
10. Appendix Topics (It will have contents based on student's demands)
What others say about this course
Reviews from Udemy
The instructor provides a thorough and sound way of building a statistical model. I applied what I learned for my work. It's very practical and helpful!
Its great experience of learning
The slide notes are badly written, can't refer to them and can't really understand what they are on about. You would expect a grammar checker would at least go into these!
Muy buen curso, es un poco repetitivo y le faltan ejercicios con grandes volúmenes de datos. SerÃa bueno que pusiera una aplicación de análisis de componentes principales con regresión logÃstica. Read More ...
I'm a statistician. A really good approach to the topics.
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