R with Machine Learning Training & Placement Program

Who is a R with Machine Learning Developer?

TopGrads R with Machine Learning Training & Placement provides a complete understanding of R with Machine Learning.

It covers both basic and advanced levels of concepts.

Practice on software tools and Real-Time project scenarios.

The training will offer a hands-on overview of typical machine learning applications in R

The R with Machine Learning Programmer is mainly responsible for coding and unit testing of the coding. He develops programs in R with Machine Learning language and executes them once created to test whether the coding is working properly or not. He also takes part in meetings to update his work progress in the project. This training is for anyone who is aiming to start their development and who aspires to be a developer. Anyone with bachelor’s and a few years of experience or a master’s degree and moderate computer knowledge should be able to master the coursework.

  • Well qualified tutors are available.
  • Face to Face online classes. Students get the chance to interact with faculty.
  • Weekly mock interviews and group discussions held.
  • Our coursework is rated best among the competition.
  • Assistance in Resume and Interview preparation.

Change Your Career.

Change Your Life.

Learning Objectives at the end of the R with Machine Learning Analyst Training?

  • What is R Programming Language? Introduction & Basics
  • R Data Types, Arithmetic & Logical Operators with Example
  • R Matrix Tutorial: Create, Print, add Column, Slice
  • Factor in R: Categorical & Continuous Variables
  • R Data Frame: Create, Append, Select, Subset
  • List in R: Create, Select Elements with Example
  • R Sort a Data Frame using Order()
  • Data Manipulation(Join) & Cleaning(Spread)
  • Merge Data Frames in R: Full and Partial Match
  • Functions in R Programming (with Example)
  • IF, ELSE, ELSE IF Statement in R
  • LOOPS CONCEPT IN R
  • apply(), lapply(), sapply(), tapply() Function in R with Examples
  • Import Data into R: Read CSV, Excel, SPSS, Stata, SAS Files
  • How to Replace Missing Values(NA) in R
  • R Exporting Data to Excel, CSV, SAS, STATA, Text File
  • Correlation in R
  • R Aggregate Function
  • R Select(), Filter(), Arrange(), Pipeline with Example
  • Scatter Plot in R using ggplot2
  • How to make Box plot in R
  • Bar Chart & Histogram in R
  • T Test in R
  • R ANOVA
  • Linear Regression
  • Logistic Regression
  • Time Series
  • Cluster Analysis
  • Decision Tree
  • Assessment
dont slow down we have got you!

Don't Slow Down, We've Got You!