Logistic Regression (Predictive Modeling) workshop using R
Predictive Analytics - Learn R syntax for step by step logistic regression model development and validations
4.45 (102 reviews)
556
students
3.5 hours
content
Sep 2019
last update
$59.99
regular price
What you will learn
Familiar with Syntax for - Step by step logistic regression modeling using R
Why take this course?
This course is a workshop on logistic regression using R. The course
- Doesn't have much of theory - it is more of execution of R command for the purpose
- Provides step by step process details
- Step by step execution
- Data files for the modeling
- Excel file containing output of these steps
The content of the course is as follows
- Data Import and Data Sanity Check
- Development n Validation dataset preparartion
- Important Categorical Variable selection
- Important Numeric Variable Selection
- Indicator Variable Creation
- Stepwise Regression
- Dealing with multicollinearity
- Logistic Regression Score n Probability generation in the data set
- Hands on KS Calculation
- Coefficient stability check
- Iterate for final model
Screenshots
Reviews
Pilar
February 1, 2020
The English pronunciation of the teacher is complicated about his mother language.
In the two last lesson he is a little bit not organized
Kyriacos
August 30, 2019
As a newcomer in the world of machine learning, and R, I found the course excellent. Very clear and straightforward explanation of the LR technique in R.
Mohit
January 6, 2019
Gopal is very well versed with concept and the way he explains is very impressive.
Thanks, Gopal for the wonderful insight.
Lim
March 19, 2018
Currently learning his lectures 22 (I've not completed all yet), dated 19 March 2018.
Instructor has explained concepts clearly.
This course is GOOD even for expert levels
Ryan
March 10, 2018
Gopal did a good job of getting into the gory details of the logistic regression modeling. This course may be best suited for someone with beginner understanding of logistic regression modeling already, and maybe has made a model or two in R already. I enjoyed it.
Shukhrat
January 29, 2018
Excellent step by step, concise, clear explanation, very helpful code files attached. Exactly what I was looking for.
Rajesh
November 22, 2017
explained very well with the details. Will recommend to anyone who wants to understand the basics and fundamentals of logistic regression very well. You can go to the advance level if you get this basics right from this course
Abhishek
November 21, 2017
Very strong accent.
Positives:
In-depth course, with touching on relevant aspect of logistic regression.
Taymour
October 14, 2017
Great summary of what could be a much more complicated tutorial. Assumptions were made of the user's skills. Fortunately, I was tracking as I have developed models for a long time. This may not be true for the first time modeler, however.
Yoshinobu
August 31, 2017
English is my second language, so sometimes it was hard to catch the speaker's words and meaning. But he introduced chi-square value, p-value, information value, multi co-lineality, with clear explanation. Provided downloadable files were also good and helpful. Ordinal Regression part was the most difficult part of the lesson for me.
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Enrollment distribution
1119812
udemy ID
2/19/2017
course created date
11/22/2019
course indexed date
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