Logistic Regression in RStudio
Learn about the techniques and models involved in logistic regression in RStudio and discuss the steps in the data exploration process.
The results of the logistic regression model can be analyzed and utilized when solving business problems. This model is valuable especially when combined with the capabilities of machine learning. In this free online course, you will learn the importance of data preprocessing and how to solve business problems using the three main classification techniques. Discover how to perform a logistic regression by taking this comprehensive course today.
What You Will Learn In This Free Course
Statistics and Analysis
In this module on Statistics and Analysis, you will gain insight into the steps in the data exploration process and the different dispersion measures. You will also discover that a delimiter is a symbol used to segregate one data column from another.
Classification Models
In this module on Classification Models, you will learn about the package that is used to split the data into the test and train sets in R and the package that is used to create a Linear Discriminant Analysis. You will also learn about the examples of classification techniques that can be used to predict categorical response variables.
Course assessment
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