Live Online (VILT) & Classroom Corporate Training Course
R is a language that is most suited for ML programming and achieving mastery in it is paramount for a career in ML. Master ML with R and become part of the technology revolution that will shape the future world.
This course will help you learn all the concepts of R and ML along with Supervised vs Unsupervised Learning, the ways in which Statistical Modeling relates to Machine Learning, and a comparison of each using R libraries.
At the end of Machine Learning with R training course, participants will
Understand the behavior of data as they build significant models
Learn about the various libraries offered by R to manipulate, preprocess and visualize data
Supervised, Unsupervised Machine Learning and relation of statistical modelling to machine learning
Learn to use optimization techniques to find the minimum error in your machine learning model
Learn various machine learning algorithms like KNN, Decision Trees, SVM, Clustering in detail
Implement algorithms and R libraries such as CRAN-R in real world scenarios
Learn the technique to reduce the number of variables using Feature Selection and Feature Extraction
Learn to use multiple learning algorithms to obtain better predictive performance
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