Performing regression tasks using decision tree & PCA basics

In this 1-hour long project-based course, you will gain expertise in performing regression tasks using decision tree and PCA basics. The course will cover the following key learnings:

1. Predicting two decision tree regression models
2. Drawing decision tree for regression
3. Regularizing a decision tree regressor
4. Setting up the environment for dimensional reduction
5. Coding for projection methods in dimensionality reduction
6. Coding for PCA using SVD decomposition and scikit-learn

By the end of the course, you will have the skills to effectively utilize decision tree regression and PCA for regression tasks, and be equipped with the knowledge to implement these techniques in practical scenarios.