R Practical - Logistic Regression with R
R Practical - Logistic Regression with R
Machine Learning,Development,Data Science,R
Lectures -27
Resources -1
Duration -3.5 hours
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Course Description
This course consists of the theory of linear regression and practical implementation. Assumptions, removing inconsistent variables, etc will be covered in this course.
R is a powerful language and environment that is used for statistical computing and graphics. Very similar to the S language and environment that was developed at Bell Laboratories by John Chambers and colleagues, while the R program was a part of the GNU project. R can be considered as a different implementation of S and there are some important differences while so much of their code is similar for both S and R.
R provides a lot of variety for statistics including linear and non-linear modeling, and classical statical tests among others as well as for graphical techniques which are quite extensible. The S language is, therefore, a great choice for research in statistical methods and R provides an Open source to match the requirements.
One of the biggest strengths of R is that it is easy to integrate it with publication quality plots including symbols and formulas related to mathematical equations. So while great care has been taken to ensure default choices in minor design changes, the user is more often than not in full control of the software. In addition, R is available as free software under the terms and conditions of the Free Software Foundation’s GNU General Public License. It is capable of being compiled and run on a number of platforms including UNIX platforms, macOS and Windows.
Target Customers:
- The course is ideal for students learning Data Science and Analytics
Prerequisites
What are the prerequisites for this course?
- Basic knowledge of Statistics
- R Basics
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
1 Lectures
- Introduction to Logistic Regression 03:27 03:27
Advertisement Dataset
8 Lectures
Diabetes Dataset
9 Lectures
Credit Risk
9 Lectures
Instructor Details
Corporate Bridge Consultancy Private Limited
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