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What you would learn in Logistic Regression in R Studio course?
You're searching for a complete Classification model course that teaches the basics of constructing the classification model using R.
You've come to the right place. Classification modeling course that covers logistics regression LDA and KNN using R Studio!
When you've completed this course, you'll be capable of:
• Identify the business challenge that could be solved with Classification modeling methods that are part of Machine Learning.
* Create a new Classification modeling Model in R and then compare their performance.
Practice confidently, talk about and grasp Machine Learning concepts
What will this course do to assist you?
A Verifiable Certificate of Completion is given to all students who complete this Machine Learning Basics course.
If you're a business executive or manager, or a student looking to master and apply machine learning to real-world issues in business, This course will give you a solid foundation in which you will learn the most well-known classification techniques of machine learning, including Logistic Regression, Linear Discriminant Analysis, and KNN
The reason why you should select this particular course?
This course will cover all the steps one must take when attempting to solve an issue in business using classification methods.
Most courses are focused on teaching the way to conduct the analysis. However, we believe that what happens before and after the analysis is just as critical, i.e., before you can run the analysis, it's essential to gather the correct data and perform some pre-processing. When you have completed your analysis, you will be able to assess the quality of your model and use the results to be effective for your business.
Know what to make of the outcome from the Logistic Regression Model and transform them into actionable knowledge
Learn about the linear discriminant analysis and the K-Nearest Neighbors method in R Studio
Learn to solve real-world problems using different techniques of classification.
Initial analysis of data with Univariate analysis before running the classification model
Predict future outcomes based on previous information by using a Machine Learning algorithm
A thorough understanding of data collection as well as data preprocessing to solve Machine Learning logistic regression problem
The course includes a complete DIY project that you can use to apply your knowledge from the lectures.
Visually representing data in R both before and after analysis
How can I perform basic statistical operations using R?
Download Logistic Regression in R Studio from below links NOW!
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