#LOGISTIC REGRESSION IN R STUDIO HOW TO#

But even if you don’t understand it, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures.

We have covered the basic theory behind each concept without getting too mathematical about it so that you understand where the concept is coming from and how it is important. This section starts with Logistic regression and then covers Linear Discriminant Analysis and K-Nearest Neighbors. We learn how to do uni-variate analysis and bi-variate analysis then we cover topics like outlier treatment and missing value imputation. We start with understanding the importance of business knowledge then we will see how to do data exploration. In this section you will learn what actions you need to take a step by step to get the data and then prepare it for the analysis these steps are very important. It also contains steps involved in building a machine learning model, not just linear models, any machine learning model. What are the meanings or different terms associated with machine learning? You will see some examples so that you understand what machine learning actually is. In this section we will learn – What does Machine Learning mean. Section 3 – Introduction to Machine Learning.This section will help you set up the R and R studio on your system and it’ll teach you how to perform some basic operations in R. This section is divided into five different lectures starting from types of data then types of statistics then graphical representations to describe the data and then a lecture on measures of center like mean median and mode and lastly measures of dispersion like range and standard deviation This course teaches you all the steps of creating a Linear Regression model, which is the most popular Machine Learning model, to solve business problems.īelow are the course contents of this course on Linear Regression: Each section contains a practice assignment for you to practically implement your learning. You can also take quizzes to check your understanding of concepts.

With each lecture, there are class notes attached for you to follow along. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.ĭownload Practice files, take Quizzes, and complete Assignments Teaching our students is our job and we are committed to it. You are the best and this course is worth any price. Thank you Author for this wonderful course. This is very good, i love the fact the all explanation given can be understood by a layman – Joshua We are also the creators of some of the most popular online courses – with over 150,000 enrollments and thousands of 5-star reviews like these ones: As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using machine learning techniques and we have used our experience to include the practical aspects of data analysis in this course The course is taught by Abhishek and Pukhraj. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business. before running analysis it is very important that you have the right data and do some pre-processing on it. Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. This course covers all the steps that one should take while solving a business problem using classification techniques. If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you the most popular Classification techniques of machine learning, such as Logistic Regression, Linear Discriminant Analysis and KNN Confidently practice, discuss and understand Machine Learning conceptsĪ Verifiable Certificate of Completion is presented to all students who undertake this Machine learning basics course.Create different Classification modelling model in R and compare their performance.Identify the business problem which can be solved using Classification modeling techniques of Machine Learning.You’ve found the right Classification modeling course covering logistic regression, LDA and kNN in R studio!Īfter completing this course, you will be able to: You’re looking for a complete Classification modeling course that teaches you everything you need to create a Classification model in R, right?

Logistic regression in r studio