Moocable is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Building Regression Models with Linear Algebra

Howard University via Coursera

Description

In this course, you'll learn how to distinguish between the different types of regression models. You will apply the Method of Least Squares to a dataset by hand and using Python. In addition, you will learn how to employ a linear regression model to identify scenarios. Let's get started!

Tags
Cybersecurity

Syllabus

  • Introduction to Regression Models
    • In module 1, you’ll learn how to define regression and learn about the various types of regression models and how they are used. We will cover the following learning objectives.
  • Using the Method of Least Squares
    • Let’s recap! In module 1, you learned how to define regression models and use the various types of regression models. In module 2, you’ll gain the knowledge you need to know in order to apply the method of least squares.. You’ll also learn how to apply the method of least squares using Python. We will cover the following learning objectives.
  • Using Linear Regression Models
    • Let’s recap! In module 2, you learned how to apply the method of least squares. In module 3, you will learn how to understand linear regression models. We will cover the following learning objectives.
  • Using Linear Regression Model
    • Welcome to the final module of this course! Over the past 3 modules, you have been introduced to and gained knowledge on the following topics: regression, regression models, applying the method of least squares and, understanding linear regression models. In the final module of the course, you’ll apply what you’ve learned to concrete, real-world examples. You’ll review real-world linear regression models and complete peer reviews. We will cover the following learning objectives.

Building Regression Models with Linear Algebra

Howard University
Start Learning Find study partner
Affiliate notice

  • Type
    Online Courses
  • Provider
    Coursera

In this course, you'll learn how to distinguish between the different types of regression models. You will apply the Method of Least Squares to a dataset by hand and using Python. In addition, you will learn how to employ a linear regression model to identify scenarios. Let's get started!

  • Introduction to Regression Models
    • In module 1, you’ll learn how to define regression and learn about the various types of regression models and how they are used. We will cover the following learning objectives.
  • Using the Method of Least Squares
    • Let’s recap! In module 1, you learned how to define regression models and use the various types of regression models. In module 2, you’ll gain the knowledge you need to know in order to apply the method of least squares.. You’ll also learn how to apply the method of least squares using Python. We will cover the following learning objectives.
  • Using Linear Regression Models
    • Let’s recap! In module 2, you learned how to apply the method of least squares. In module 3, you will learn how to understand linear regression models. We will cover the following learning objectives.
  • Using Linear Regression Model
    • Welcome to the final module of this course! Over the past 3 modules, you have been introduced to and gained knowledge on the following topics: regression, regression models, applying the method of least squares and, understanding linear regression models. In the final module of the course, you’ll apply what you’ve learned to concrete, real-world examples. You’ll review real-world linear regression models and complete peer reviews. We will cover the following learning objectives.

Tags

Cybersecurity

Related Courses

Quick Links

Browse by subject

Browse by provider

Browse by university

Browse by publisher

Browse by institution

Roadmaps

Posts