- Level Foundation
- Duration 6 hours
- Course by Howard University
-
Offered by
About
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!Modules
Introduction to Specialization and Course
1
Discussions
- Meet and Greet Forum
3
Videos
- Introduction to Specialization
- Course Introduction
- Instructor Introduction
1
Readings
- Welcome to Building Regression Models with Linear Algebra
Defining Regression
1
Assignment
- Practice Quiz: Regression and Types of Regression Models
3
Videos
- What is Regression Analysis?
- Different Types of Regression Models
- Regression Models in the Real World
Types of Regression Models
2
Assignment
- Practice Quiz: Which Model to Use?
- Graded Quiz: Regression Definitions and Models
1
Discussions
- Using a Regression Model to Solve a Problem
2
Videos
- Introduction to the Method of Linear Regression Models
- Introduction to the Method of Least Squares
Applying the Method of Least Squares
1
Assignment
- Practice Quiz: Method of Least Squares
1
Discussions
- How Could You Use the Method of Least Squares?
1
Videos
- Applying the Method of Least Squares
Applying the Method of Least Squares Using Python
2
Assignment
- Practice Quiz: Using the Method of Least Squares
- Graded Quiz: Using the Method of Least Squares
1
Videos
- Minimizing the Error
Understanding Linear Regression Models
2
Assignment
- Practice Quiz: Linear Regression Model
- Graded Quiz: Linear Regression Model
2
Videos
- What is Linear Regression?
- Multiple Linear Regressions in Python
Apply Linear Regression Model
1
Peer Review
- Applying Linear Regression Models
2
Videos
- Solving a Real-World Problem Using Linear Regression Modeling: Part 1
- Solving a Real-World Problem Using Linear Regression Modeling: Part 2
Auto Summary
"Building Regression Models with Linear Algebra" is a foundational course in IT & Computer Science, taught by Coursera. It focuses on distinguishing various regression models, applying the Method of Least Squares manually and with Python, and utilizing linear regression for scenario identification. The course spans 360 minutes and offers Starter and Professional subscription options, making it ideal for beginners seeking to understand linear algebra's application in regression modeling.

Dennis Davenport

MOUSSA DOUMBIA