Deepa Bhawana

Deepa Bhawana

Community Learner

How to perform a backward elimination approach using R to increase the accuracy of a linear regression model in R? Explain with an example

For explaining backward elimination approach, let us explain with a model. First we import the dataset # Importing the dataset dataset = read.csv('50_Startups.csv') We encode categorical data # Encoding categorical data dataset$State = factor(dataset$State,levels = c('New York', 'California', 'Florida'), labels = c(1,…

Data Science

Answered Dec 21, 2019 · 1.6K Views Read answer →

A user has the following dataframe and wants to select only particular labels such as ‘hesc’, or ‘bj fibroblast’.How to do that? Following is the data

To select rows which contains ‘hesc’, we can do the following expr[expr$cell_type == "hesc", ] To select rows having either ‘hesc’ or ‘bj fibroplast’, we can do the following expr[expr$cell_type %in% c("hesc", "bj fibroblast"), ]

Data Science

Answered Nov 17, 2019 · 1.2K Views Read answer →

Create a 5 by 5 matrix consisting of the numbers 1-25 and assign it to the variable mat2. The top row should be the numbers 1-5.Using indexing notation, grab a subsection of mat2 that looks like this:

[ 7, 8] [12,13] Let us create a matrix of 5 by 5 consisting of numbers 1-25. mat2

Data Science

Answered Nov 10, 2019 · 2.9K Views Read answer →

How to perform a backward elimination approach using R to increase the accuracy of a linear regression model in R? Explain with an example

A user has the following dataframe and wants to select only particular labels such as ‘hesc’, or ‘bj fibroblast’.How to do that? Following is the data

Create a 5 by 5 matrix consisting of the numbers 1-25 and assign it to the variable mat2. The top row should be the numbers 1-5.Using indexing notation, grab a subsection of mat2 that looks like this:

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