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
