Ace Linear Regression

How good is your R2? Learn A-Z of Linear Regression.

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Language: English

Instructors: AI Monks

Validity Period: 365 days

₹499 50.1% OFF

₹249

40% Cashback as Credits

 

Why this course?

Description

Do you know that Linear Regression is one of the most widely used modeling techniques? From beginner data scientists to experts, from consultants to salespeople – everyone uses linear regression in some or the other form.

Though linear regression may be one of the most common techniques, it is also one of the most WRONGLY used techniques. People usually assume that linear regression can be fit on any dataset and it will give perfect results. However, this isn’t the true.

In this course on linear regression, we have uncovered the fundamental concepts of linear regression and tried to understand its correct usage in real world.

Who should opt for this course?

  • Anyone who wishes to develop theoretical and practical understanding of linear regression
  • Any student or professional preparing for job interview and wish to learn linear regression
  • Any professional willing to implement linear regression at her work
  • Any student willing to work on academic projects using linear regression

Comprehensive Course Coverage

This course covers linear regression in great depth and covers following aspects:

  • Basics of linear regression
  • Mathematics behind linear regression
  • Assumptions of linear regression
  • Building a linear regression model in Python
  • Analyze and interpret the results of linear regression
  • Applications of linear regression in real-word context
  • Case study to implement and understand the relevance of linear regression
  • 100+ (and counting) conceptual and practical question to test your understanding
  • 4 practice tests to help you develop detailed understanding of the concept
  • 1 Evaluation test to test your knowledge

In case of any query, please reach out to us at info@aimonks.com.

Course Curriculum

Chapter 1 - Introduction to Linear Regression
Introduction to Linear Regression
Chapter 2 - Understanding Linear Regression
Understanding Linear Regression
Chapter 3 - Assumptions of Linear Regression
Assumptions of Linear Regression
Chapter 4 - Interpreting Output of Linear Regression
Interpreting Output of Linear Regression
Chapter 5 - Building Linear Regression Model in Python
Building Linear Regression Model in Python
Chapter 6 - Learning Linear Regression Through Case Study
Learning Linear Regression Through Case Study
Practice Tests
Practice Test 1 - Basics of Linear Regression
Practice Test 2 - Assumptions of Linear Regression
Practice Test 3 - Assumptions of Linear Regression
Practice Test 4 - Interpretation of Linear Regression
Final Evaluation
Final Evaluation 1

How to Use

After successful purchase, this item would be added to your courses.You can access your courses in the following ways :

  • From the computer, you can access your courses after successful login
  • For other devices, you can access your library using this web app through browser of your device.

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