Logistic Regression, Decision Tree and Neural Network in R

Online Course

Udemy
Logistic Regression, Decision Tree and Neural Network in R

What is the course about?

Logistic Regression, Decision Tree and Neural Network in R
The course Logistic Regression, Decision Tree and Neural Network in R is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

Logistic Regression, Decision Tree and Neural Network in R

Course description
  • Logistic Regression, Decision Tree and Neural Network in R
  • At the end of this Course, A student will be able to use Predictive analytics ( Decision tree , neural network or Logistic regression) to predict future outcomes. Some areas of application are the following: Actuarial Science, marketing, financial services, insurance, mobility, pharmaceuticals, healthcare, just to name a few
  • The only prerequisite for this class is the willingness to learn and some basic knowledge of R but not necessary
  • 1 hour on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Modeste Atsague

Prerequisites & Facts

Logistic Regression, Decision Tree and Neural Network in R

Course Topic

Data Science, Development, R

University, College, Institution

Udemy

Course Skill Level

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

Logistic Regression, Decision Tree and Neural Network in R

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udemy
Logistic Regression, Decision Tree and Neural Network in R
provided by Udemy

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School: Udemy
Topic: Data Science, Development, R