Binomial and Multinomial Logistic Regressions in R
  • Description
  • Discussion
  • Reviews

Logistic Regressions are one of the fundamental models in Machine Learning. In this course, you will learn:

  • Logistic regressions fundamentals and how to interpret estimates
  • Binomial and Multinomial logistic regressions
  • Implementing logistic regressions in R
  • Performance measurement in logistic regressions
  • Generating and understanding ROC curve
  • Building confusion metrics and understanding its elements

All data sets and codes are provided.

Requirements: Basic knowledge in R or other programing languages. Basic knowledge in statistics is also helpful.

Instructor's short Bio:

Ali Marami has PhD in Finance and B.S. in Electrical Engineering. He has several years of experience in model development and validation in banking industry.

Q&A: Your instructor answers questions in the Discussion section of this notebook in the marketplace.

To learn how to use R-Brain platform, please check our help:

Also, Please watch this video to learn how to install and use materials from marketplace:

There are no comments yet
There are no reviews yet
0.00/5 (0)
Version: 2.0
Category: Education
Published: July 03, 2017
Author: Ali Marami
Publisher: marami52
License: BSD-3 clause
Try R-Brain for Free

R-Brain is a powerful data science platform, where you can build sophisticated models, collaborate with others, learn and experiment. Try for free, no credit card required.
Try for Free