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COURSE DETAILS

Category: Software Testing

MACHINE LEARNING WITH R PROGRAMMING

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A learning of the basics of prediction using machine learning. This track covers predicting categorical and numeric responses via classification and regression, and discovering the hidden structure of datasets (unsupervised learning).

Learn how to process data for modelling, how to train your models, how to visualize your models and assess their performance, and how to tune their parameters for better performance.

An educational resource for those seeking knowledge related to machine learning and statistical computing in R. Here, you will find quality articles, with working R code and examples, where, the goal is to make the #rstats concepts clear and as simple as possible.This is built by keeping in mind, statisticians who are new to R programming language, R programmers without a stats background, analysts who work in SAS or python, college grads and developers who are relatively new to both R and stats/ML.