Supervised Learning: Regression

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