Updated on Jun, 2025
Language - English
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Linear Regression Analysis in R - Machine Learning Course
Linear Regression in R studio. Simple & multiple Regression Analysis is essential for Machine Learning and Econometrics
Development ,Data Science,Machine Learning
Lectures -55
Resources -1
Duration -6 hours
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Course Description
You're looking for a complete Linear Regression course that teaches you everything you need to create a Linear Regression model in R, right?
You've found the right Linear Regression course!
After completing this course you will be able to:
- Identify the business problem that can be solved using the linear regression technique of Machine Learning.
- Create a linear regression model in R 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 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 technique of machine learning, which is Linear Regression
Why should you choose this course?
This 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 the analysis is even more important i.e. before running the analysis it is very important that you have the right data and do some pre-processing on it. After running the analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business.
What makes us qualified to teach you?
The course is taught by Abhishek and Pukhraj. As managers in a Global Analytics Consulting firm, we have helped businesses solve their business problems using machine learning techniques and we have used our experience to include the practical aspects of data analysis in this course
Why learn the Linear regression technique of Machine learning?
There are four reasons to learn the Linear regression technique of Machine learning:
- Linear Regression is the most popular machine-learning technique.
- Linear Regression has a fairly good prediction accuracy.
- Linear Regression is simple to implement and easy to interpret.
- It gives you a firm base to start learning other advanced techniques of Machine Learning.
Who this course is for?
- People pursuing a career in data science.
- Working Professionals beginning their Data journey.
- Statisticians need more practical experience.
- Anyone curious to master Linear Regression from beginner to advanced in a short span of time.
Goals
- Learn how to solve real-life problems using the Linear Regression technique.
- Preliminary analysis of data using Univariate and Bivariate analysis before running Linear regression.
- Predict future outcomes basis past data by implementing Simplest Machine Learning algorithm.
- Understand how to interpret the results of the Linear Regression model and translate them into actionable insight.
- Understanding of basics of statistics and concepts of Machine Learning.
- In-depth knowledge of data collection and data preprocessing for Machine Learning Linear Regression problems.
- Learn advanced variations of the OLS method of Linear Regression.
- The course contains an end-to-end DIY project to implement your learnings from the lectures.
- How to convert the business problem into a Machine learning Linear Regression problem.
- How to do basic statistical operations in R.
- Advanced Linear regression techniques using GLMNET package of R.
- Graphically representing data in R before and after analysis.
Prerequisites
- Students will need to install R and R studio software but we have a separate lecture to help you install the same.
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
2 Lectures
-
Welcome to the course!
02:21
02:21
-
Course contents
06:53
06:53
Basics of Statistics
6 Lectures
Getting started with R and R studio
8 Lectures
Introduction to Machine Learning
2 Lectures
Data Preprocessing
18 Lectures
Linear Regression Model
12 Lectures
Regression models other than OLS
6 Lectures
Instructor Details
Abhishek and Pukhraj
Start-Tech Academy is a technology-based Analytics Education Company and aims at Bringing Together the analytics companies and interested Learners.
Our top quality training content along with internships and project opportunities helps students in launching their Analytics journey.
Founded by Abhishek Bansal and Pukhraj Parikh.
Working as a Project manager in an Analytics consulting firm, Pukhraj has multiple years of experience working on analytics tools and software. He is competent in MS office suites, Cloud computing, SQL, Tableau, SAS, Google analytics and Python.
Abhishek worked as an Acquisition Process owner in a leading telecom company before moving on to learning and teaching technologies like Machine Learning and Artificial Intelligence.
Course Certificate
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