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R Programming

advanced R course with an intensive focus on machine learning

Intermediate 0(0 Ratings) 0 Students enrolled
Created by Admin mystudyexam Last updated Tue, 28-Jan-2020 English
What will i learn?
  • Perform Data Preparation in R
  • Know how to reset the dataframe index
  • Deal with date-times in R
  • Create, use, append, modify, rename, access and subset Lists in R
  • Nest apply(), lapply() and sapply() functions within each other

Curriculum for this course
0 Lessons 00:00:00 Hours
  • Basic knowledge of R
  • Knowledge of the GGPlot2 package is recommended
  • Knowledge of dataframes
  • Knowledge of vectors and vectorized operations
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R is a statistical programming language that allows you to build probabilistic models, perform data science, and build machine learning algorithms. R has a great package ecosystem that enables developers to conduct data visualization to data analysis.

This online course covers advanced-level concepts in R programming and demonstrates industry best practices. This is an advanced R course with an intensive focus on machine learning concepts in depth and applying them in the real world with R.  

The course starts off with pre-model-building activities such as univariate and bivariate analysis, outlier detection, and missing value treatment featuring the mice package. Then we take a look at linear, non-linear regression modeling and classification models, and will check out the math behind the working of classification algorithms.

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