Disclaimer: If you sign up for a (paid) course using this link, R-exercises earns a commission. It does not impact what you pay for a course, and helps us to keep R-exercises free.Course Description
Inspired by the field of Machine Learning? Then this course is for you!
This course is intended for both freshers and experienced hoping to make the bounce to Data Science.
R is a statistical programming language which provides tools to analyze data and for creating high-level graphics.
The topic of Machine Learning is getting exceptionally hot these days in light of the fact that these learning algorithms can be utilized as a part of a few fields from software engineering to venture managing an account. Students, at the end of this course, will be technically sound in the basics and the advanced concepts of Machine Learning.
What are the requirements?
- R programming
- R studio should be installed already
- Basic knowledge of programming
- Basic knowledge of mathematics
What am I going to get from this course?
- Master Machine Learning
- Regression modelling
- knn algorithm
- naive bayes algorithm
- BPN(Back Propagation Network)
- SVM(Support Vector Machine)
- Decision Tree
Who is the target audience?
- Anyone interested in machine learning