##### Linear Regression and Logistic Regression using R Studio

Linear Regression and Logistic Regression using R Studio Linear Regression and Logistic Regression for beginners. Understand the difference between Regression & Classification You're looking for a complete Linear Regression and Logistic Regression course that teaches you everything you need to create a Linear or Logistic Regression model in R Studio, right?

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Linear Regression and Logistic Regression using R Studio Linear Regression and Logistic Regression for beginners. Understand the difference between Regression & Classification You’re looking for a complete **Linear Regression and Logistic Regression course** that teaches you everything you need to create a Linear or Logistic Regression model in R Studio, right?

**You’ve found the right Linear Regression course!**

After completing this course **you will be able to**:

- Identify the business problem which can be solved using linear and logistic regression technique of Machine Learning.
- Create a linear regression and logistic regression model in R Studio and analyze its result.
- Confidently practice, discuss and understand Machine Learning concepts

A **Verifiable Certificate of Completion** is presented to all students who undertake this Machine learning basics course.

**How this course will help you?**

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 Linear Regression and Logistic Regression using R Studio course will give you a solid base for that by teaching you the most popular technique of machine learning, which is Linear Regression

**Why should you choose this course?**

This Linear Regression and Logistic Regression using R Studio course covers all the steps that one should take while solving a business problem through linear regression.

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. before running analysis it is very important that you have the right data and do some pre-processing on it.

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.

## Linear Regression and Logistic Regression using R Studio Description

**What is covered in this course?**

This Linear Regression and Logistic Regression using R Studio course teaches you all the steps of creating a Linear Regression model, which is the most popular Machine Learning model, to solve business problems.

Below are the course contents of this course on Linear Regression:

**Section 1 – Basics of Statistics**This section is divided into five different lectures starting from types of data then types of statisticsthen graphical representations to describe the data and then a lecture on measures of center like meanmedian and mode and lastly measures of dispersion like range and standard deviation

**Section 2 – Python basic**This section gets you started with Python.This section will help you set up the python and Jupyter environment on your system and it’ll teachyou how to perform some basic operations in Python. We will understand the importance of different libraries such as Numpy, Pandas & Seaborn.

**Section 3 – Introduction to Machine Learning**In this section we will learn – What does Machine Learning mean. 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. Linear Regression and Logistic Regression using R Studio It also contains steps involved in building a machine learning model, not just linear models, any machine learning model.**Section 4 – Data Preprocessing**In this section you will learn what actions you need to take a step by step to get the data and thenprepare it for the analysis these steps are very important.We start with understanding the importance of business knowledge then we will see how to do data exploration. We learn how to do uni-variate analysis and bi-variate analysis then we cover topics like

**outlier treatment, missing value imputation, variable transformation and correlation.****Section 5 – Regression Model**This section starts with simple linear regression and then covers multiple linear regression.We have covered the basic theory behind each Linear Regression and Logistic Regression using R Studio concept without getting too mathematical about it so that youunderstand where the concept is coming from and how it is important. 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 also look at how to quantify models accuracy, what is the meaning of F statistic, how categorical variables in the independent variables dataset are interpreted in the results, what are other variations to the ordinary least squared Linear Regression and Logistic Regression using R Studio method and how do we finally interpret the result to find out the answer to a business problem.

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