Model Selection in R (AIC Vs BIC)
Model Selection in R, Let’s look at a linear regression model using mtcars dataset. First, we need to brush up on our knowledge by looking at the mtcars dataset. head(mtcars) M mpg cyl disp...
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Model Selection in R, Let’s look at a linear regression model using mtcars dataset. First, we need to brush up on our knowledge by looking at the mtcars dataset. head(mtcars) M mpg cyl disp...
AIC in R, Always we are curious about how well a model explains the relationship between variables. We can utilize information criteria to determine how successful our model is at explaining relationships. AIC and...
Simple linear regression in r, we want to create models to investigate and forecast the relationship between variables, and the most basic relationship that we can think of is a straight line. Let’s take...
Analysis of Variance in R, You will be able to identify reasons for employing an Analysis of Variance (or ANOVA) test in your data analysis after completing this tutorial. You’ll also learn how to...
Grouping Data in R, You’ll learn the fundamentals of grouping and how to utilize it to transform and visualize a dataset in this tutorial. Think about the flight delays in the airline dataset that...
Descriptive Statistics in R, You’ll learn about descriptive statistics in this tutorial, which is one strategy you might employ in exploratory data analysis. Before you invest time constructing intricate models, it’s necessary to first...
Data Format in R, You’ll learn about data formats and why reformatting data can help you enhance your data analysis in this tutorial. Data is typically acquired from a variety of sources and by...
Convert Categorical Variable to Numeric in R, In this tutorial, you’ll learn how to convert categorical values into quantitative values to make statistical modeling easier. Most statistical models can’t take in strings as inputs....
Binning in R, you will learn about data binning in this tutorial. Binning develops distinct categories from numerical data that are frequently continuous. It’s very handy for comparing different sets of data. Binning is...
Data Normalization in R, data normalization is a vital technique to understand in data pre-processing, and you’ll learn about it in this tutorial. Different numerical data columns may have vastly different ranges, making a...
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