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How good is your R^{2}? Learn A-Z of Linear Regression.

5.0 (1 ratings)

**Language:** English

**Instructors:** AI Monks

**Validity Period:** 365 days

₹499 50.1% OFF

## ₹249

40% Cashback as Credits

*Why this course?*

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.

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 |

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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