Machine Learning in Python
Regression Analysis in Python
Python can be harnessed to make powerful machine learning algorithms. In this course, you will create an algorithm that uses linear regression analysis to predict future numeric values.
Advanced    11 Lessons    180 Minutes    CPD Credits
About This Course
Use the data you have in the present to tell stories about the future. In this course, you will explore the concept of linear regression analysis and its utility as a predictive model.
You will examine how linear regression analysis makes predictions. You will learn how to train a linear regression model and evaluate it for optimal performance. You will also validate the results of your regression analysis.
By the end of this course, you will have a powerful tool that empowers you to make accurate predictions of future numeric values.
Learning Outcomes
-
Understand the applications of linear regression
-
Understand how linear regression makes predictions
-
Train and evaluate a linear regression model
-
Evaluate the model’s performance
-
Validate regression model results
Lessons
1. Course Introduction
2. Visualizing Linear Regression
4. The Loss Function
5. Minimizing the Loss Function
6. Creating Dummy Variables
Read More
7. Exploring Variable Relationships
8. Checking for Linear Relationships
9. Regression with SciKitLearn
10. Inspecting the Distribution of the Errors
11. Inspecting the Consistency of the Errors
Learning Certificates
Showcase Your Skills
Each time you complete a course exam, you earn a certificate that demonstrates your proficiency in that subject matter. We are proud to be able to say that Kubicle certificates are recognized by the most respected employers from around the world.
When you earn internationally-recognized certificates, you increase confidence. And when you enhance your ability, speed and accuracy, you increase your employability.
