Decision Tree Regression: An Intuitive Approach For Machine Learning Beginners

Decision Tree Regression is a powerful machine learning technique that can be used to make predictions and decisions based on data. It is an intuitive approach that is easy to understand and implement, making it a great choice for machine learning beginners. The tree is built by splitting the data into smaller and smaller subsets, and then using a measure of impurity to determine which subset is the best to split on. The resulting tree can then be used to make predictions and decisions based on the data, and can be used to solve a variety of real-world problems.