Supervised Learning: Regression

Intermediate

Supervised learning. If you are hearing or reading this term for the first time, then it may be completely unclear what it means. Don't worry. In this lab, you will get a comprehensive understanding of supervised learning; and, in the next chapter of the experiment, you will learn to use supervised learning to complete data prediction.

scikit-learnMachine Learning

Introduction

In this course, you will learn how to apply supervised learning techniques to solve data prediction problems.

🎯 Tasks

In this course, you will learn:

  • How to understand the concept of supervised learning
  • How to implement linear regression and polynomial regression models
  • How to use ridge regression and lasso regression to address overfitting issues
  • How to apply supervised learning to predict housing prices and Bitcoin prices

🏆 Achievements

After completing this course, you will be able to:

  • Understand the fundamentals of supervised learning
  • Develop and evaluate linear and polynomial regression models
  • Apply regularization techniques to improve model performance
  • Use supervised learning to make accurate predictions on real-world datasets

Teacher

labby

Labby

Labby is the LabEx teacher.