Machine Learning with R Programming

This course will cover the basic algorithm that helps us to build and apply prediction functions with an emphasis on practical applications. Students, at the end of this training, will be technically competent in the basics and the fundamental concepts of Machine Learning such as: Understand components of a machine learning algorithm Apply multiple machine learning tools to build and evaluate predictors on real data Learn how to perform different classification algorithm to filtering the Email data Forecasting on Time series Data Perform Clustering with the help of case study This course contains lectures as videos along with the hands-on implementation of the concepts, additional assignments are also provided in the last section for your self-practice, working files are provided along with the first lecture.

Requirements You should have solid foundation in R You should have good understanding of general statistics