This course offers you practical training in machine learning, using the R program. At the end of the course you will know how to use the most widespread machine learning techniques to make accurate predictions and get valuable insights from your data.
All the machine learning procedures are explained live, in detail, on real life data sets. So you will advance fast and be able to apply your knowledge immediately no need for painful trial–and–error to figure out how to implement this or that technique in R. Within a short time you can have a solid expertise in machine learning.
Machine learning skills are very valuable if you intent to secure a job like data analyst, data scientist, researcher or even software engineer. So it may be the right time for you to enroll in this course and start building your machine learning competences today!
Let s see what you are going to learn here.
First of all, we are going to discuss some essential concepts that you must absolutely know before performing machine learning. So we ll talk about supervised and unsupervised machine learning techniques, about the distinctions between prediction and inference, about the regression and classification models and, above all, about the bias–variance trade–off, a crucial issue in machine learning.
Courses : 2
Specification: Applied Machine Learning in R