What you would learn in The Complete Supervised Machine Learning Models in R course?
The course is designed to help you're going to be able to master all kinds of Supervised Machine Learning Models that are implemented in R. This is because the Math behind each Model is vitally important. Without it, you will never be a Good Data Scientist. This is why I have explained the Math behind each Model in the intuition portion of every Model.
Implementation of R R is carried out in a way that you do not just learn to implement an exact Model in R but also how to create real-time templates and determine the accuracy of Models to allow you to test various models on an issue quickly, determine the accuracy rates, and select the one that gives the best accuracy.
Anyone who wishes to know more about the Supervised Machine learning Models in R or wants to see the background of Machine learning Models or anyone interested in Data Science can enroll in this course because it's the best course for those interested. Once you complete this course, I can assure you that you'll be an expert in supervised Machine Learning models by using R language. You will be proficient in the models.
Content of the Course:
Learn Full Supervised Machine Learning Models in R
Learn the Math that is the basis of each machine learning model
Discover the underlying principles of every Model
Learn to create essential and GUI template templates based on GUI
Learn how to select the most suitable machine learning model to solve the problem you are facing.
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